5.6 Image Enhancement and Display

Chapter Contents (Back)
Image Display. Image Enhancement. Enhancement.
See also Image Processing Books.
See also Super Resolution or Superresolution, General.
See also Tone Mapping of Images.

Lohmann, A.W., Thum, C.,
Histograms of Image Sequence Spectra,
ISPDSA83(350-363). BibRef 8300

Nahi, N.E.,
Role of Recursive Estimation in Statistical Image Enhancement,
PIEEE(60), No. 7, July 1972, pp. 872-877. BibRef 7207

Nahi, N.E., Assefi, T.,
Bayesian Recursive Image Estimation,
TC(21), No. 7, July 1972, pp. 734-767. BibRef 7207

Cain, D.G.,
X-Ray Image Enhancement by Least-Mean-Square Estimation,
AppOpt(11), No. 12, December 1972, pp. 2949-2955. BibRef 7212

Kramer, H.P.[Henry P.], Bruckner, J.B.[Judith B.],
Iterations of a non-linear transformation for enhancement of digital images,
PR(7), No. 1-2, June 1975, pp. 53-58.
Elsevier DOI 0309
BibRef

Mohwinkel, C., Kurz, L.,
Computer Picture Processing and Enhancement by Localized Operations,
CGIP(5), No. 4, December 1976, pp. 401-424.
Elsevier DOI BibRef 7612

Andrews, H.C.,
Monochrome Digital Image Enhancement,
AppOpt(15), February 1976, pp. 495-503. BibRef 7602

Harris, J.L.,
Constant Variance Enhancement: A Digital Processing Technique,
AppOpt(16), May 1977, pp. 1268-1271. BibRef 7705

Hummel, R.A.[Robert A.],
Image enhancement by histogram transformation,
CGIP(6), No. 2, April 1977, pp. 184-195.
Elsevier DOI 0501
BibRef

Troxel, D.E.[Donald E.], Lynn, Jr., C.[Charles],
Enhancement of News Photos,
CGIP(7), No. 2, April 1978, pp. 266-281.
Elsevier DOI BibRef 7804

Lee, J.S.,
Digital Image Enhancement and Noise Filtering by Use of Local Statistics,
PAMI(2), No. 2, March 1980, pp. 165-168. BibRef 8003

Lee, J.S.,
Refined Noise Filtering Using Local Statistics,
CGIP(15), No. 4, April 1981, pp. 380-389.
Elsevier DOI BibRef 8104

Lynch, D.K.,
Range Image Enhancement via One-Dimensional Spatial Filtering,
CGIP(15), No. 2, February 1981, pp. 194-200.
Elsevier DOI BibRef 8102

Maitre, H.[Henri],
Iterative Picture Restoration Using Video Optical Feedback,
CGIP(16), No. 2, June 1981, pp. 95-115.
Elsevier DOI BibRef 8106

Algazi, V.R.[V. Ralph], Ford, G.E.[Gary E.],
Radiometric Equalization of Nonperiodic Striping in Satellite Data,
CGIP(16), No. 3, July 1981, pp. 287-295.
Elsevier DOI BibRef 8107

Pal, S.K.[Sankar K.],
A Note on the Quantitative Measurement of Image Enhancement Through Fuzziness,
PAMI(4), No. 2, March 1982, pp. 204-208. BibRef 8203

McClellan, J.H.[James H.],
A Modified Alpha-Root Technique for Image Processing,
CGIP(19), No. 1, May 1982, pp. 18-34.
Elsevier DOI BibRef 8205

Yum, Y.H., and Park, S.B.,
Optimum Recursive Filtering of Noisy Two-Dimensional Data with Sequential Parameter Identification,
PAMI(5), No. 3, May 1983, pp. 337-344. BibRef 8305

Shiozaki, A.[Akira],
Image Enhancement in a Dithered Picture,
CVGIP(24), No. 1, October 1983, pp. 107-113.
Elsevier DOI BibRef 8310

Davis, L.S., Xie, H.C., Rosenfeld, A.,
Image Sequence Enhancements Based on the Normal Component of Image Motion,
PRL(2), 1983, pp. 95-99. BibRef 8300

Hurt, S.L., Rosenfeld, A.,
Noise Reduction in Three-Dimensional Digital Images,
PR(17), No. 4, 1984, pp. 407-421.
Elsevier DOI BibRef 8400

Hahn, S., Mendoza, E.E.,
Simple Enhancement Techniques in Digital Image Processing,
CVGIP(26), No. 2, May 1984, pp. 233-241.
Elsevier DOI BibRef 8405

Wampler, J.E.[John E.],
Enhancing Real-Time Perception of Quantum Limited Images from a Doubly Intensified SIT Camera System,
CVGIP(32), No. 2, November 1985, pp. 208-220.
Elsevier DOI BibRef 8511

Wolberg, G., Pavlidis, T.,
Restoration of Binary Images Using Stochastic Relaxation with Annealing,
PRL(3), 1985, pp. 375-388. BibRef 8500

Chanda, B., Chaudhuri, B.B., Dutta Majumder, D.,
Some Algorithms for Image Enhancement Incorporating Human Visual Response,
PR(17), No. 4, 1984, pp. 423-428.
Elsevier DOI
See also Some Modified Algorithms for Graylevel Thresholding.
See also Performance Bound of Walsh-Hadamard Transform for Feature Selection and Compression and Some Related Fast Algorithms. BibRef 8400

Chanda, B., Chaudhuri, B.B., Dutta Majumder, D.,
Image Sharpening Incorporating Human Visual Response,
SP(9), 1985, pp. 57-65. BibRef 8500

Mahmoodi, A.B., Nelson, O.L.[Owen L.],
Method of image enhancement by raster scanning,
US_Patent4,571,635, Feb 18, 1986
WWW Link. BibRef 8602

Conradsen, K., Nilsson, G.,
Data Dependent Filters for Edge Enhancement of Landsat Images,
CVGIP(38), No. 2, May 1987, pp. 101-121.
Elsevier DOI BibRef 8705

Tubbs, J.D.,
A Note on Parametric Image Enhancement,
PR(20), No. 6, 1987, pp. 617-621.
Elsevier DOI BibRef 8700

Carlson, R.C.[Robert C.],
Image processing technique,
US_Patent5,022,091, Jun 4, 1991
WWW Link. SAR Enhancement BibRef 9106

Le Negrate, A.[Alain], Beghdadi, A.[Azeddine], Dupoisot, H.[Henri],
An Image Enhancement Technique and Its Evaluation Through Bimodality Analysis,
GMIP(54), No. 1, January 1992, pp. 13-22. BibRef 9201

Reese, G.[Greg],
Image Enhancement by Intensity-Dependent Spread Functions,
GMIP(54), No. 1, January 1992, pp. 45-55. BibRef 9201

Dale-Jones, R., Tjahjadi, T.,
Four Algorithms for Enhancing Images with Large Peaks in Their Histogram,
IVC(10), No. 7, September 1992, pp. 495-507.
Elsevier DOI BibRef 9209

Bunce, R.W.[Richard W.],
Pixel image enhancement employing a reduced template memory store,
US_Patent5,237,646, Aug 17, 1993
WWW Link. Window based. BibRef 9308

Lindenbaum, M., Fischer, M., Bruckstein, A.M.,
On Gabor's Contribution To Image-Enhancement,
PR(27), No. 1, January 1994, pp. 1-8.
Elsevier DOI BibRef 9401

Blass, W.E., Mahan, S.L., Chin, G.,
Convolution Connection Paradigm Neural Network Enables Linear-System Theory-Based Image-Enhancement,
IJIST(6), No. 4, Winter 1995, pp. 350-357. BibRef 9500

Ng, Y.S.[Yee S.], Yeh, H.[Hurjay], Pickup, M.A.[Michael A.],
Resolution enhancement system for combined binary and gray scale halftone images,
US_Patent5,450,531, September 12, 1995.
HTML Version. BibRef 9509

Komatsu, F.[Fumio],
Method of extracting features of image,
US_Patent5,479,535, Dec 26, 1995
WWW Link. Enhancement of microscope images. BibRef 9512

Hernandez, G., Herrmann, H.J.,
Cellular-Automata for Elementary Image-Enhancement,
GMIP(58), No. 1, January 1996, pp. 82-89. BibRef 9601

Yarrisonrice, J.M., Sharp, E.J., Wood, G.L., Neurgaonkar, R.R.,
Edge Enhancement of a Phase-Conjugate Image with a Mutually Pumped Phase Conjugator,
AppOpt(35), No. 11, April 10 1996, pp. 1904-1910. BibRef 9604

Thurnhofer, S., Mitra, S.K.,
A General Framework for Quadratic Volterra Filters for Edge Enhancement,
IP(5), No. 6, June 1996, pp. 950-963.
IEEE DOI 9607
BibRef

Thurnhofer, S., Mitra, S.K.,
Edge-Enhanced Image Zooming,
OptEng(35), No. 7, July 1996, pp. 1862-1870. 9608
BibRef

Kotropoulos, C., Pitas, I.,
Adaptive LMS L-Filters For Noise Suppression In Images,
IP(5), No. 12, December 1996, pp. 1596-1609.
IEEE DOI 9701
BibRef

Hua, Z., Roehrig, H., Hayworth, M.,
Method for Improving Image Quality in Digital Linear Tomography,
IVC(4), No. 1, February 1986, pp. 25-28.
Elsevier DOI BibRef 8602

Xiang, Y.Q., Raphan, T., Liang, X., Wang, L., Ho, P.P., Alfano, R.R.,
Image-Quality Enhancement of Objects in Turbid Media by Use of a Combined Computational-Photonics Approach,
AppOpt(36), No. 5, February 10 1997, pp. 1045-1053. 9702
BibRef

Kundu, M.K., Pal, S.K.,
Automatic Selection of Object Enhancement Operator with Quantitative Justification Based on Fuzzy Set Theoretic Measures,
PRL(11), 1990, pp. 811-829. BibRef 9000

de Biase, G.A., Nesci, R.,
Correction of Background in Very Low Statistics Images,
PRL(8), 1988, pp. 165-170. BibRef 8800

De, T.K., Chatterji, B.N.,
The Concept of Deenhancement in Digital Image Processing,
PRL(2), 1984, pp. 329-332. BibRef 8400

Altas, I., Louis, J., Belward, J.,
A variational approach to the radiometric enhancement of digital imagery,
IP(4), No. 6, June 1995, pp. 845-849.
IEEE DOI 0402
BibRef

Park, J.[Jaehyun], Kurz, L.,
Image enhancement using the modified ICM method,
IP(5), No. 5, May 1996, pp. 765-771.
IEEE DOI 0402
BibRef

Peters, R.A., Nichols, J.A.,
Rocket Plume Image Sequence Enhancement Using 3D Operators,
AeroSys(33), No. 2, Part 1, April 1997, pp. 485-498. 9704
BibRef

Highnam, R.[Ralph], Brady, M.[Michael],
Model-Based Image-Enhancement of Far-Infrared Images,
PAMI(19), No. 4, April 1997, pp. 410-415.
IEEE DOI 9705
BibRef
And: Oxford Univ.OUEL 2087/96, 1996. BibRef
Earlier: PBMCV95(SESSION 2) Enhancement based on the model that the image is piecewise constant. Then apply median filtering and spatial homomorphic filtering. Applied to sequences. BibRef

Centeno, J.A.S.[Jorge A. Silva], Haertel, V.[Victor],
An Adaptive Image-Enhancement Algorithm,
PR(30), No. 7, July 1997, pp. 1183-1189.
Elsevier DOI 9707
BibRef

Choi, Y.S.[Young-Sik], Krishnapuram, R.,
A Robust Approach to Image-Enhancement Based on Fuzzy-Logic,
IP(6), No. 6, June 1997, pp. 808-825.
IEEE DOI 9705
BibRef
Earlier:
Image enhancement based on fuzzy logic,
ICIP95(I: 167-170).
IEEE DOI 9510
BibRef

Acton, S.T.,
On Fuzzy Nonlinear-Regression For Image-Enhancement,
JMIV(8), No. 3, May 1998, pp. 239-253.
DOI Link 9804
BibRef

Liu, P.C., Chang, W.T., Shen, W.Z.,
Recursive Minimum Energy Algorithm For Image Interpolation,
Consumer(44), No. 1, February 1998, pp. 187-191. 9804
BibRef

Suzuki, J., Furukawa, I., Ono, S., Kitamura, M., Ando, Y.,
Contrast Mapping and Evaluation for Electronic X-Ray Images on CRT Display Monitor,
MedImg(16), No. 6, December 1997, pp. 772-784.
IEEE Top Reference. 9803
BibRef

Kennedy, L.M., Basu, M.,
Image Enhancement Using A Human Visual System Model,
PR(30), No. 12, December 1997, pp. 2001-2014.
Elsevier DOI 9805
BibRef

Zandhuis, J.A., Pycock, D., Quigley, S.F., Webb, P.W.,
Sub-Pixel Nonparametric PSF Estimation for Image-Enhancement,
VISP(144), No. 5, October 1997, pp. 285-292. 9806
BibRef

Guillon, S., Baylou, P., Najim, M., Keskes, N.,
Adaptive Nonlinear Filters for 2D and 3D Image Enhancement,
SP(67), No. 3, June 1998, pp. 237-254. 9808
BibRef

Dodd, R.K.,
A New Approach to the Visualization of Tensor Fields,
GMIP(60), No. 4, July 1998, pp. 286-303. BibRef 9807

Raji, A., Thaibaoui, A., Petit, E., Bunel, P., Mimoun, G.,
A gray-level transformation-based method for image enhancement,
PRL(19), No. 13, November 1998, pp. 1207-1212. BibRef 9811

Jawerth, B.D., Hilton, M.L., Huntsberger, T.L.,
Local enhancement of compressed images,
JMIV(3), No. 1, 1993, pp. 39-49. BibRef 9300

Lee, K.S.[Ki Seung], Kim, E.S., Doh, W.[Won], Youn, D.H.[Dae Hee],
Image Enhancement Based on Signal Subspace Approach,
IP(8), No. 8, August 1999, pp. 1129-1134.
IEEE DOI BibRef 9908
Earlier: A1, A3, Park, K.J.[Kun Jong], A4 (no A2): ICIP96(I: 777-780).
IEEE DOI BibRef

Chen, B.[Biao], Latifia, S.[Shahram], Kanaib, J.[Junichi],
Edge enhancement of remote sensing image data in the DCT domain,
IVC(17), No. 12, October 1999, pp. 913-921.
Elsevier DOI BibRef 9910

Lemström, K., Fränti, P.,
N-Candidate methods for location invariant dithering of color images,
IVC(18), No. 6-7, 1 May 2000, pp. 493-500.
Elsevier DOI 0003
BibRef

Salcic, Z., Sivaswamy, J.,
IMECO: A Reconfigurable FPGA-based Image Enhancement Co-Processor Framework,
RealTimeImg(5), No. 6, December 1999, pp. 385-395. 0003
BibRef

Anderson, C.H.[Charles H.], Greenspan, H.K.[Hayit K.],
Image enhancement by non-linear extrapolation in frequency space,
US_Patent5,717,789, Feb 10, 1998
WWW Link. BibRef 9802
And: US_Patent6,005,983, Dec 21, 1999
WWW Link. BibRef

Greenspan, H.K.[Hayit K.], Anderson, C.H.[Charles H.], Akber, S.,
Image Enhancement By Nonlinear Extrapolation in Frequency Space,
IP(9), No. 6, June 2000, pp. 1035-1048.
IEEE DOI 0006
BibRef

Greenspan, H.K.[Hayit K.], Akber, S.,
Nonlinear edge enhancement,
ICIP95(I: 179-182).
IEEE DOI 9510
BibRef

Tang, M.[Ming], Ma, S.D.[Song-De], Xiao, J.[Jing],
Model-based adaptive enhancement of far infrared image sequences,
PRL(21), No. 9, August 2000, pp. 827-835. 0008
BibRef

Kenney, C.S., Deng, Y., Manjunath, B.S., Hewer, G.A.,
Peer group image enhancement,
IP(10), No. 2, February 2001, pp. 326-334.
IEEE DOI 0104
BibRef

Agaian, S.S., Panetta, K.A., Grigoryan, A.M.,
Transform-based image enhancement algorithms with performance measure,
IP(10), No. 3, March 2001, pp. 367-382.
IEEE DOI 0104
BibRef

Agaian, S.S., Silver, B., Panetta, K.A.,
Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy,
IP(16), No. 3, March 2007, pp. 741-758.
IEEE DOI 0703
BibRef

Nercessian, S.C., Panetta, K.A., Agaian, S.S.,
Non-Linear Direct Multi-Scale Image Enhancement Based on the Luminance and Contrast Masking Characteristics of the Human Visual System,
IP(22), No. 9, 2013, pp. 3549-3561.
IEEE DOI 1309

See also Human Visual System Based Mammogram Enhancement and Analysis. Image enhancement BibRef

Panetta, K.A., Wharton, E.J., Agaian, S.S.,
Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure,
SMC-B(38), No. 1, February 2007, pp. 174-188.
IEEE DOI 0801

See also Human Visual System Based Mammogram Enhancement and Analysis. BibRef

Panetta, K.A., Agaian, S.S., Zhou, Y., Wharton, E.J.,
Parameterized Logarithmic Framework for Image Enhancement,
SMC-B(41), No. 2, April 2011, pp. 460-473.
IEEE DOI 1103
BibRef

Arslan, F.T.[Fatma T.], Grigoryan, A.M.[Artyom M.],
Fast Splitting Alpha-Rooting Method of Image Enhancement: Tensor Representation,
IP(15), No. 11, November 2006, pp. 3375-3384.
IEEE DOI 0610
BibRef

Arslan, F.T.[Fatma T.], Grigoryan, A.M.[Artyom M.],
Enhancement of Medical Images by the Paired Transform,
ICIP07(I: 537-540).
IEEE DOI 0709
BibRef

Tang, H., Zhuang, T., Wu, E.X.,
Realizations of fast 2-D/3-D image filtering and enhancement,
MedImg(20), No. 2, February 2001, pp. 132-140.
IEEE Top Reference. 0110
BibRef

He, Y.[Yun], Krim, H.,
Multiscale Signal Enhancement: Beyond the Normality and Independence Assumption,
IP(11), No. 4, April 2002, pp. 423-433.
IEEE DOI 0205
BibRef

Chang, C.C., Chen, G.I.,
Enhancement algorithm for nonlinear context-based predictors,
VISP(150), No. 1, February 2003, pp. 15-19.
IEEE Top Reference. 0304
BibRef

Albani, M.[Marco], Klinkenberg, B.[Brian],
A Spatial Filter for the Removal of Striping Artifacts in Digital Elevation Models,
PhEngRS(69), No. 7, July 2003, pp. 755-766. A filtering algorithm that takes advantage of the structure of British Columbia TRIM elevation point files is effective in mitigating the impacts of striping like artifacts in the calculation of local DEM parameters.
WWW Link. 0307
BibRef

Munteanu, C., Rosa, A.,
Gray-Scale Image Enhancement as an Automatic Process Driven by Evolution,
SMC-B(34), No. 2, April 2004, pp. 1292-1298.
IEEE Abstract. 0404
BibRef

Huang, K.Q.[Kai-Qi], Wu, Z.Y.[Zhen-Yang], Wang, Q.[Qiao],
Image enhancement based on the statistics of visual representation,
IVC(23), No. 1, 1 January 2004, pp. 51-57.
Elsevier DOI 0412
BibRef

Leung, C.C.[Chung-Chu], Chan, K.S.[Ka-Shing], Chan, H.M.[Hoi-Mei], Tsui, W.K.[Wai-Kin],
A new approach for image enhancement applied to low-contrast-low-illumination IC and document images,
PRL(26), No. 6, 1 May 2005, pp. 769-778.
Elsevier DOI 0501
BibRef

Jain, H.K., Ramamurthy, K., Sundaram, S.,
Effectiveness of Visual Interactive Modeling in the Context of Multiple-Criteria Group Decisions,
SMC-A(36), No. 2, March 2006, pp. 298-318.
IEEE DOI 0604
Analysis of presentation of information. BibRef

Lee, S.K.[Sang-Keun],
Content-based image enhancement in the compressed domain based on multi-scale alpha-rooting algorithm,
PRL(27), No. 10, 15 July 2006, pp. 1054-1066.
Elsevier DOI Image dynamics; Illumination; Reflectance; Discrete cosine transform (DCT); alpha-Rooting; Multi-scale structure 0606
BibRef

Wan, Y., Shi, D.,
Joint Exact Histogram Specification and Image Enhancement Through the Wavelet Transform,
IP(16), No. 9, September 2007, pp. 2245-2250.
IEEE DOI 0709
BibRef

Zhang, L., Wu, X., Zhang, D.,
Color Reproduction From Noisy CFA Data of Single Sensor Digital Cameras,
IP(16), No. 9, September 2007, pp. 2184-2197.
IEEE DOI 0709
BibRef

Zhang, L., Lukac, R., Wu, X., Zhang, D.,
PCA-Based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras,
IP(18), No. 4, April 2009, pp. 797-812.
IEEE DOI 0903
BibRef

Iakovidou, C., Vonikakis, V., Andreadis, I.,
FPGA implementation of a real-time biologically inspired image enhancement algorithm,
RealTimeIP(3), No. 4, December 2008, pp. xx-yy.
Springer DOI 0811

See also Fast centre-surround contrast modification. BibRef

Yang, C., Lu, L., Lin, H., Guan, R., Shi, X., Liang, Y.C.,
A Fuzzy-Statistics-Based Principal Component Analysis (FS-PCA) Method for Multispectral Image Enhancement and Display,
GeoRS(46), No. 11, November 2008, pp. 3937-3947.
IEEE DOI 0812

See also Fuzzy-Statistics-Based Affinity Propagation Technique for Clustering in Multispectral Images, A. BibRef

Demir, B., Celebi, A., Erturk, S.[Sarp],
A Low-Complexity Approach for the Color Display of Hyperspectral Remote-Sensing Images Using One-Bit-Transform-Based Band Selection,
GeoRS(47), No. 1, January 2009, pp. 97-105.
IEEE DOI 0901
BibRef

Demir, B., Erturk, S.,
Empirical Mode Decomposition of Hyperspectral Images for Support Vector Machine Classification,
GeoRS(48), No. 11, November 2010, pp. 4071-4084.
IEEE DOI 1011
BibRef

Erturk, A., Gullu, M.K., Erturk, S.,
Hyperspectral Image Classification Using Empirical Mode Decomposition With Spectral Gradient Enhancement,
GeoRS(51), No. 5, May 2013, pp. 2787-2798.
IEEE DOI 1305
BibRef

Erturk, S.,
Region of Interest Extraction in Infrared Images Using One-Bit Transform,
SPLetters(20), No. 10, 2013, pp. 952-955.
IEEE DOI 1309
Band-pass filters BibRef

Liu, J.[Jun], Huan, Z.D.[Zhong-Dan], Huang, H.Y.[Hai-Yang], Zhang, H.L.[Hai-Li],
An Adaptive Method for Recovering Image from Mixed Noisy Data,
IJCV(85), No. 2, November 2009, pp. xx-yy.
Springer DOI 0909
New version of the Rudin-Osher-Fatemi (ROF) model
See also Nonlinear total variation based noise removal algorithms. BibRef

Liu, J.[Jun], Huang, H.Y.[Hai-Yang], Huan, Z.D.[Zhong-Dan], Zhang, H.L.[Hai-Li],
Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise,
IJCV(90), No. 2, November 2010, pp. 131-149.
WWW Link. 1011
BibRef

Liu, J.[Jun], Huan, Z.D.[Zhong-Dan], Huang, H.Y.[Hai-Yang],
Image restoration under mixed noise using globally convex segmentation,
JVCIR(22), No. 3, April 2011, pp. 263-270.
Elsevier DOI 1103
Total variation; Globally convex segmentation; Split Bregman iteration; Mixed noise; Impulsive noise; Image denoising; Image deblurring; Variational PDE method BibRef

Liu, J.[Jun], Tai, X.C.[Xue-Cheng], Huang, H.Y.[Hai-Yang], Huan, Z.D.[Zhong-Dan],
A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise,
IP(22), No. 3, March 2013, pp. 1108-1120.
IEEE DOI 1302
BibRef

Liu, J.[Jun], Tai, X.C.[Xue-Cheng], Huang, H.Y.[Hai-Yang], Huan, Z.D.[Zhong-Dan],
A fast segmentation method based on constraint optimization and its applications: Intensity inhomogeneity and texture segmentation,
PR(44), No. 9, September 2011, pp. 2093-2108.
Elsevier DOI 1106
Image segmentation; Constraint optimization; Centroidal Voronoi tessellation; Texture segmentation; Intensity inhomogeneous; Fast algorithm BibRef

Situ, G.H.[Guo-Hai], Pedrini, G.[Giancarlo], Osten, W.[Wolfgang],
Spiral phase filtering and orientation-selective edge detection/enhancement,
JOSA-A(26), No. 8, August 2009, pp. 1788-1797.
DOI Link 0909
Enhancement with edge direction. BibRef

Karali, A.O.[A. Onur], Okman, O.E.[O. Erman], Aytaç, T.[Tayfun],
Adaptive enhancement of sea-surface targets in infrared images based on local frequency cues,
JOSA-A(27), No. 3, March 2010, pp. 509-517.
DOI Link 1003
BibRef

Feng, J.,
High Speed Progressive Digital-Reversal Algorithm,
SPLetters(18), No. 2, February 2011, pp. 119-121.
IEEE DOI 1101
BibRef

Ratner, V.[Vadim], Zeevi, Y.Y.[Yehoshua Y.],
Denoising-Enhancing Images on Elastic Manifolds,
IP(20), No. 8, August 2011, pp. 2099-2109.
IEEE DOI 1108
BibRef
Earlier:
The dynamics of image denoising viewed as damped elastic deformation,
ICIP09(3989-3992).
IEEE DOI 0911
BibRef
Earlier:
Telegraph-Diffusion Operator for Image Enhancement,
ICIP07(I: 525-528).
IEEE DOI 0709
BibRef
And:
Image Enhancement Using Elastic Manifolds,
CIAP07(769-774).
IEEE DOI 0709
BibRef

Ratner, V.[Vadim], Zeevi, Y.Y.[Yehoshua Y.],
Stable denoising-enhancement of images by telegraph-diffusion operators,
ICIP13(1252-1256)
IEEE DOI 1402
Approximation methods BibRef

Montagna, R.[Roberto], Finlayson, G.D.[Graham D.],
Constrained pseudo-Brownian motion and its application to image enhancement,
JOSA-A(28), No. 8, August 2011, pp. 1677-1688.
DOI Link 1108
BibRef

Hu, W., Xue, J.R., Zheng, N.N.,
PSF Estimation via Gradient Domain Correlation,
IP(21), No. 1, January 2012, pp. 386-392.
IEEE DOI 1112
BibRef

Ling, Y.[Yun], Yan, C.P.[Cai-Ping], Liu, C.X.[Chun-Xiao], Wang, X.[Xun], Li, H.[Hong],
Adaptive tone-preserved image detail enhancement,
VC(27), No. 6-8, June 2011, pp. 733-742.
WWW Link. 1205
BibRef

Wang, G.Y.[Guang-Yu],
Active entropy camera,
MVA(23), No. 4, July 2012, pp. 713-723.
WWW Link. 1206
Automatic exposure control. Entropy based. BibRef

Ahmad, F., Fuhrmann, C., Kerr, P., Fairley, J., Price, S., Durst, B.,
Image enhancement through complex conduction coefficient modifications,
IET-IPR(6), No. 8, 2012, pp. 1205-1219.
DOI Link 1302
BibRef

Saponara, S.[Sergio], Fanucci, L.[Luca], Petri, E.[Esa],
A multi-processor NoC-based architecture for real-time image/video enhancement,
RealTimeIP(8), No. 1, March 2013, pp. 111-125.
WWW Link. 1303
BibRef

Shah, P.[Parul], Reddy, B.C.S.[B. Chandra Sekhar], Merchant, S.N.[Shabbir N.], Desai, U.B.[Uday B.],
Context enhancement to reveal a camouflaged target and to assist target localization by fusion of multispectral surveillance videos,
SIViP(7), No. 3, May 2013, pp. 537-552.
Springer DOI 1305
BibRef

Xu, M.[Min], Chen, H.[Hao], Varshney, P.K.,
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SIViP(9), No. 7, October 2015, pp. 1679-1690.
Springer DOI 1509
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Wang, S.Q.[Shi-Qi], Ma, K.[Kede], Yeganeh, H., Wang, Z.[Zhou], Lin, W.S.[Wei-Si],
A Patch-Structure Representation Method for Quality Assessment of Contrast Changed Images,
SPLetters(22), No. 12, December 2015, pp. 2387-2390.
IEEE DOI 1512
image enhancement BibRef

Fu, X.Y.[Xue-Yang], Liao, Y.H.[Ying-Hao], Zeng, D.[Delu], Huang, Y.[Yue], Zhang, X.P.[Xiao-Ping], Ding, X.H.[Xing-Hao],
A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation,
IP(24), No. 12, December 2015, pp. 4965-4977.
IEEE DOI 1512
image enhancement BibRef

Fu, X.Y.[Xue-Yang], Zeng, D.[Delu], Huang, Y.[Yue], Zhang, X.P.[Xiao-Ping], Ding, X.H.[Xing-Hao],
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation,
CVPR16(2782-2790)
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IET-IPR(9), No. 12, 2015, pp. 1033-1038.
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Clock Algorithm Analysis for Increasing Quality of Digital Images,
IJIG(16), No. 03, 2016, pp. 1650016.
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Scale-Aware Spatially Guided Mapping,
MultMedMag(23), No. 3, July 2016, pp. 34-42.
IEEE DOI 1609
image enhancement BibRef

Tsai, C.L., Chien, S.Y.,
Feasible and Robust Optimization Framework for Auxiliary Information Refinement in Spatially-Varying Image Enhancement,
IP(26), No. 8, August 2017, pp. 3721-3733.
IEEE DOI 1707
content-based retrieval, image enhancement, auxiliary information refinement, computational time, content-based image processing, linear system, memory consumption, quadratic Laplacian regularization, spatially-varying image enhancement, spectral analysis, BibRef

Tohl, D., Li, J.S.J.[J. S. Jimmy],
Image Enhancement by S-Shaped Curves Using Successive Approximation for Preserving Brightness,
SPLetters(24), No. 8, August 2017, pp. 1247-1251.
IEEE DOI 1708
approximation theory, human factors, image enhancement, image sequences, transfer functions, video signal processing, S-shaped curves, S-shaped transfer function, computational efficiency, contrast loss, BibRef

Castillo Atoche, A., Carrasco Alvarez, R., Palma Marrufo, O., Vázquez Castillo, J.,
An efficient systolic array grid-based structure of the robust Bayesian regularization technique for real-time enhanced imaging in uncertain remote sensing environment,
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Hardware implementation of the efficient robust Bayesian regularization architecture. BibRef

Liu, S.G.[Shi-Guang], Li, S.C.[Shi-Chao],
Gamut mapping optimization algorithm based on gamut-mapped image measure (GMIM),
SIViP(12), No. 1, January 2018, pp. 67-74.
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Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images,
IP(27), No. 4, April 2018, pp. 2049-2062.
IEEE DOI 1802
Dynamic range, Heuristic algorithms, Image sequences, Imaging, Lighting, Training, Training data, multi-exposure image fusion BibRef

Pu, T.[Tian], Wang, S.H.[Shu-Hang],
Perceptually motivated enhancement method for non-uniformly illuminated images,
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Wan, M.J.[Min-Jie], Gu, G.H.[Guo-Hua], Qian, W.X.[Wei-Xian], Ren, K.[Kan], Chen, Q.[Qian], Maldague, X.[Xavier],
Infrared Image Enhancement Using Adaptive Histogram Partition and Brightness Correction,
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Liu, C.W.[Cheng-Wei], Sui, X.[Xiubao], Kuang, X.D.[Xiao-Dong], Liu, Y.[Yuan], Gu, G.H.[Guo-Hua], Chen, Q.[Qian],
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Lee, S., Kim, D., Kim, C.,
Ramp Distribution-Based Image Enhancement Techniques for Infrared Images,
SPLetters(25), No. 7, July 2018, pp. 931-935.
IEEE DOI 1807
image enhancement, infrared imaging, optimisation, high-boost filtering, high-dynamic-range IR images, infrared image BibRef

Su, H., Jung, C., Wang, S., Du, Y.,
Readability Enhancement of Displayed Images Under Ambient Light,
CirSysVideo(28), No. 7, July 2018, pp. 1481-1496.
IEEE DOI 1807
Adaptation models, Distortion, Image color analysis, Lighting, Mobile communication, Optimization, Visualization, mobile display BibRef

Samanta, S.[Sourav], Mukherjee, A.[Amartya], Ashour, A.S.[Amira S.], Dey, N.[Nilanjan], Tavares, J.M.R.S.[João Manuel R. S.], Karâa, W.B.[Wahiba Ben_Abdessalem], Taiar, R.[Redha], Azar, A.T.[Ahmad Taher], Hassanien, A.E.[Aboul Ella],
Log Transform Based Optimal Image Enhancement Using Firefly Algorithm for Autonomous Mini Unmanned Aerial Vehicle: An Application of Aerial Photography,
IJIG(18), No. 4 2018, pp. 1850019.
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Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement,
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IEEE DOI 1812
feedback, feedforward neural nets, gradient methods, image enhancement, learning (artificial intelligence), non-convex optimization BibRef

Li, J.G.[Ji-Guang], Xin, C.[Chen],
A robust enhancement system based on observer-backstepping controller,
JVCIR(57), 2018, pp. 34-38.
Elsevier DOI 1812
Robustness, Adaptive function, Observer BibRef

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Dynamical stochastic resonance for non-uniform illumination image enhancement,
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Implementing real-time RCF-Retinex image enhancement method using CUDA,
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Nighttime image enhancement using a new illumination boost algorithm,
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Visual-Quality Guided Global Backlight Dimming for Video Display on Mobile Devices,
CirSysVideo(29), No. 11, November 2019, pp. 3393-3403.
IEEE DOI 1911
Visualization, Brightness, Uncertainty, Mobile handsets, Predictive models, Power demand, Quality assessment, trust-region method BibRef

Yang, K., Zhang, X., Li, Y.,
A Biological Vision Inspired Framework for Image Enhancement in Poor Visibility Conditions,
IP(29), 2020, pp. 1493-1506.
IEEE DOI 1911
Visualization, Image enhancement, Task analysis, Adaptation models, Dynamic range, Visual systems, Noise reduction, Nighttime image, noise suppression BibRef

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Memetic Algorithm Image Enhancement for Preserving Mean Brightness Without Losing Image Features,
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Personalized Image Enhancement Using Neural Spline Color Transforms,
IP(29), 2020, pp. 6223-6236.
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Image enhancement, deep learning, data-driven methods, convolutional neural networks BibRef

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IEEE DOI 2010
Image enhancement, Generative adversarial networks, Histograms, Generators, Image color analysis, Task analysis, generative adversarial network BibRef

Song, Y.[Yuda], Qian, H.[Hui], Du, X.[Xin],
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement,
ICCV21(4106-4115)
IEEE DOI 2203
Computational modeling, Transforms, Manuals, Real-time systems, Image enhancement, Low-level and physics-based vision, Computational photography BibRef

Song, Y.[Yuda], Zhu, Y.F.[Yun-Fang], Du, X.[Xin],
Model Parameter Learning for Real-Time High-Resolution Image Enhancement,
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IEEE DOI 2011
Convolution, Image resolution, Computational efficiency, Feature extraction, Image enhancement, Kernel, Training, real-time image processing BibRef

Zhang, Q.[Qing], Nie, Y.W.[Yong-Wei], Zhu, L.[Lei], Xiao, C.X.[Chun-Xia], Zheng, W.S.[Wei-Shi],
Enhancing Underexposed Photos Using Perceptually Bidirectional Similarity,
MultMed(23), 2021, pp. 189-202.
IEEE DOI 2012
Lighting, Estimation, Image color analysis, Visualization, Image enhancement, Distortion, Computer science, illumination estimation BibRef

Hassan, M.F.[Mohd Fikree],
Color Enhancement Method to Improve the Colors of the Images Perceived by the Elderly People,
IJIG(21), No. 1 2021, pp. 2150004.
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Jiang, Y., Gong, X., Liu, D., Cheng, Y., Fang, C., Shen, X., Yang, J., Zhou, P., Wang, Z.,
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IP(30), 2021, pp. 2340-2349.
IEEE DOI 2102
deep learning (artificial intelligence), image enhancement, image restoration, unsupervised learning, EnlightenGAN, unsupervised learning BibRef

Lu, C.T.[Ching-Ta], Chen, R.H.[Ruei-Han], Wang, L.L.[Ling-Ling], Lin, J.A.[Jia-An],
Image enhancement using convolutional neural network to identify similar patterns,
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Deep Battery Saver: End-to-End Learning for Power Constrained Contrast Enhancement,
MultMed(23), 2021, pp. 1049-1059.
IEEE DOI 2103
Power demand, Image color analysis, Batteries, Image resolution, Task analysis, Organic light emitting diodes, Green computing, deep learning BibRef

Wu, J., Zhang, B., Xu, Y., Zhang, D.,
Illuminance Compensation and Texture Enhancement via the Hodge Decomposition,
CirSysVideo(31), No. 3, March 2021, pp. 956-971.
IEEE DOI 2103
Interference, Databases, Harmonic analysis, Correlation, Brightness, Image color analysis, Image decomposition, drift compensation BibRef

Lecca, M.[Michela], Torresani, A.[Alessandro], Remondino, F.[Fabio],
Comprehensive evaluation of image enhancement for unsupervised image description and matching,
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Sun, W.W.[Wei-Wei], Zhou, J.T.[Jian-Tao], Dong, L.[Li], Tian, J.Y.[Jin-Yu], Liu, J.[Jun],
Optimal Pre-Filtering for Improving Facebook Shared Images,
IP(30), 2021, pp. 6292-6306.
IEEE DOI 2107
Social networking (online), Image coding, Color, Transform coding, Distortion, Image resolution, Degradation, Online social networks, pre-filtering BibRef

Li, T.[Tong], Zhao, J.F.[Ju-Feng], Wu, X.H.[Xiao-Hui], Mao, H.F.[Hai-Feng], Cui, G.[Guangmang],
Infrared imaging enhancement through local window-based saliency extraction with spatial weight,
IET-IPR(15), No. 12, 2021, pp. 2910-2925.
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Scale aware remote sensing image enhancement using rolling guidance,
JVCIR(80), 2021, pp. 103315.
Elsevier DOI 2110
Image enhancement, Remote sensing images, Rolling guidance filter, Edge preserving filters, Multiscale decomposition BibRef

Ma, Y.H.[Yu-Hui], Liu, J.[Jiang], Liu, Y.H.[Yong-Huai], Fu, H.Z.[Hua-Zhu], Hu, Y.[Yan], Cheng, J.[Jun], Qi, H.[Hong], Wu, Y.F.[Yu-Fei], Zhang, J.[Jiong], Zhao, Y.T.[Yi-Tian],
Structure and Illumination Constrained GAN for Medical Image Enhancement,
MedImg(40), No. 12, December 2021, pp. 3955-3967.
IEEE DOI 2112
Lighting, Medical diagnostic imaging, Image enhancement, Task analysis, Bidirectional control, Training, medical image enhancement BibRef

Dong, L.[Linlu], Zhao, L.J.[Liang-Jun], Wang, J.[Jun],
Image enhancement via texture protection Retinex,
IET-IPR(16), No. 1, 2022, pp. 61-78.
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Chen, W.J.[Wei-Jie], Jia, Z.H.[Zhen-Hong], Yang, J.[Jie], Kasabov, N.K.[Nikola K.],
Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
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Wang, J.C.[Jia-Chen], Yang, Y.Y.[Ying-Yun], Hua, Y.[Yan],
Image quality enhancement using hybrid attention networks,
IET-IPR(16), No. 2, 2022, pp. 521-534.
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An image enhancement algorithm of video surveillance scene based on deep learning,
IET-IPR(16), No. 3, 2022, pp. 681-690.
DOI Link 2202
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Pan, Z.Q.[Zhao-Qing], Yuan, F.[Feng], Lei, J.J.[Jian-Jun], Li, W.Q.[Wan-Qing], Ling, N.[Nam], Kwong, S.[Sam],
MIEGAN: Mobile Image Enhancement via a Multi-Module Cascade Neural Network,
MultMed(24), 2022, pp. 519-533.
IEEE DOI 2202
Image enhancement, Visualization, Image edge detection, Image color analysis, Dynamic range, Mobile handsets, Brightness, mixed loss BibRef

Luan, X.[Xiao], Zhao, Y.Y.[Yuan-Yuan], Ou, W.H.[Wei-Hua], Liu, L.[Linghui], Li, W.S.[Wei-Sheng], Shu, Y.C.[Yu-Cheng], Geng, H.M.[Hong-Min],
Collaborative Learning With a Multi-Branch Framework for Feature Enhancement,
MultMed(24), 2022, pp. 929-941.
IEEE DOI 2202
Collaborative work, Training, Task analysis, Visualization, Convolutional codes, BranchNet, feature enhancement BibRef

Hong, S.C.[Sung-Chul], Shyam, P.[Pranjay], Bangunharcana, A.[Antyanta], Shin, H.[Hyuseoung],
Robotic Mapping Approach under Illumination-Variant Environments at Planetary Construction Sites,
RS(14), No. 4, 2022, pp. xx-yy.
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Semiautonomous constrction. BibRef

Zeng, H.[Hui], Cai, J.R.[Jian-Rui], Li, L.[Lida], Cao, Z.S.[Zi-Sheng], Zhang, L.[Lei],
Learning Image-Adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-Time,
PAMI(44), No. 4, April 2022, pp. 2058-2073.
IEEE DOI 2203
Table lookup, Image color analysis, Pipelines, Cameras, Tools, Photo enhancement, photo retouching, 3D lookup table, tone enhncement BibRef

Akçakaya, M.[Mehmet], Yaman, B.[Burhaneddin], Chung, H.[Hyungjin], Ye, J.C.[Jong Chul],
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective,
SPMag(39), No. 2, March 2022, pp. 28-44.
IEEE DOI 2203
Unsupervised learning, Deep learning, Biological system modeling, Supervised learning, Signal processing, Tomography, Biomedical imaging BibRef

Lv, X.Q.[Xiao-Qian], Zhang, S.P.[Sheng-Ping], Liu, Q.L.[Qing-Lin], Xie, H.Z.[Hao-Zhe], Zhong, B.[Bineng], Zhou, H.Y.[Hui-Yu],
BacklitNet: A dataset and network for backlit image enhancement,
CVIU(218), 2022, pp. 103403.
Elsevier DOI 2205
Backlit image enhancement, Image processing, Deep learning BibRef

Trongtirakul, T.[Thaweesak], Agaian, S.[Sos],
Unsupervised and optimized thermal image quality enhancement and visual surveillance applications,
SP:IC(105), 2022, pp. 116714.
Elsevier DOI 2205
Thermal aerial images, Thermal image enhancement, Thermal image quality assessment, Thermal satellite images BibRef

Ding, F.[Feng], Yu, K.P.[Ke-Ping], Gu, Z.[Zonghua], Li, X.J.[Xiang-Jun], Shi, Y.Q.[Yun-Qing],
Perceptual Enhancement for Autonomous Vehicles: Restoring Visually Degraded Images for Context Prediction via Adversarial Training,
ITS(23), No. 7, July 2022, pp. 9430-9441.
IEEE DOI 2207
Image restoration, Autonomous vehicles, Degradation, Generative adversarial networks, Training, Navigation, Generators, generative adversarial network BibRef

Xu, W.[Wei], Chen, X.Y.[Xin-Yuan], Guo, H.M.[Hao-Ming], Huang, X.L.[Xiao-Lin], Liu, W.[Wei],
Unsupervised Image Restoration With Quality-Task-Perception Loss,
CirSysVideo(32), No. 9, September 2022, pp. 5736-5747.
IEEE DOI 2209
Image restoration, Task analysis, Image enhancement, Image color analysis, Image quality, Semantics, Deep learning, QTP BibRef

Li, Y.F.[Yu-Feng], Fan, Z.T.[Zhen-Tao], Lu, J.Y.[Ji-Yang], Chen, X.[Xiang],
TAO-Net: Task-Adaptive Operation Network for Image Restoration and Enhancement,
SPLetters(29), 2022, pp. 2198-2202.
IEEE DOI 2212
Task analysis, Degradation, Image restoration, Image reconstruction, Convolution, Benchmark testing, Training, attention mechanism BibRef

Liang, P.W.[Peng-Wei], Ding, W.Y.[Wen-Yu], Fan, L.[Lu], Wang, H.Y.[Hao-Yu], Li, Z.H.[Zi-Hong], Yang, F.[Fan], Wang, B.[Bo], Li, C.Y.[Chong-Yi],
Multi-scale and multi-patch transformer for sandstorm image enhancement,
JVCIR(89), 2022, pp. 103662.
Elsevier DOI 2212
More than just haze and fog. Sandstorm image enhancement, Transformer, Two-stage network, Dataset BibRef

Zhou, D.T.[Da-Tang], He, G.[Gang], Xu, K.[Kang], Liu, C.[Chang],
A two-stage hue-preserving and saturation improvement color image enhancement algorithm without gamut problem,
IET-IPR(17), No. 1, 2023, pp. 24-31.
DOI Link 2301
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Zhao, T.[Tao], Han, J.W.[Jun-Wei], Yang, L.[Le], Liu, Z.[Zhuang], Wang, H.J.[Hung-Ju], Zhou, T.H.[Ting-Hui], Shen, Z.Q.[Zhi-Qiang], Kang, B.Y.[Bing-Yi], Shelhamer, E.[Evan], Darrell, T.J.[Trevor J.],
Exploring Simple and Transferable Recognition-Aware Image Processing,
PAMI(45), No. 3, March 2023, pp. 3032-3046.
IEEE DOI 2302

WWW Link. Processing to enhance recognition. Image recognition, Image processing, Task analysis, Training, Target recognition, Face recognition, Noise reduction, transfer learning BibRef

Choi, G.[Guebin], Oh, H.S.[Hee-Seok],
Elastic-band transform for visualization and detection,
PRL(166), 2023, pp. 119-125.
Elsevier DOI 2302
Detection, Multiscale method, Transformation, Visualization BibRef

Sharma, S.[Shobha], Varma, T.[Tarun],
Generalised homomorphic and root filtering in 2D-nonseparable discrete linear canonical transform domains in the image enhancement applications,
IJCVR(13), No. 2, 2023, pp. 152-173.
DOI Link 2303
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Plutino, A.[Alice], Tarini, M.[Marco],
Fast ACE (FACE): An Error-Bounded Approximation of Automatic Color Equalization,
IP(32), 2023, pp. 2786-2799.
IEEE DOI 2305
Image color analysis, Image restoration, Approximation algorithms, Complexity theory, Approximation error, contrast enhancement BibRef

Panetta, K.[Karen], Kamath, K.M.S.[K.M. Shreyas], Rao, S.P.[Shishir Paramathma], Agaian, S.S.[Sos S.],
Deep Perceptual Image Enhancement Network for Exposure Restoration,
Cyber(53), No. 7, July 2023, pp. 4718-4731.
IEEE DOI 2307
Image enhancement, Lighting, Image color analysis, Feature extraction, Task analysis, Image restoration, multiscale human color vision (MHCV) loss BibRef

Kosugi, S.[Satoshi], Yamasaki, T.[Toshihiko],
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter,
CirSysVideo(33), No. 7, July 2023, pp. 3145-3158.
IEEE DOI 2307
Lighting, Learning systems, Task analysis, Cameras, Brightness, Predictive models, Optimization, Photo enhancement, crowdsourcing BibRef

Kosugi, S.[Satoshi], Yamasaki, T.[Toshihiko],
Personalized Image Enhancement Featuring Masked Style Modeling,
CirSysVideo(34), No. 1, January 2024, pp. 140-152.
IEEE DOI Code:
WWW Link. 2401
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Zhang, X.[Xu], Cai, N.[Nian], Zhang, H.[Huan], Zhang, Y.[Yun], Di, J.L.[Jiang-Lei], Lin, W.S.[Wei-Si],
AFD-Former: A Hybrid Transformer With Asymmetric Flow Division for Synthesized View Quality Enhancement,
CirSysVideo(33), No. 8, August 2023, pp. 3786-3798.
IEEE DOI 2308
Transformers, Distortion, Feature extraction, Data mining, Convolution, Decoding, Quality enhancement, synthesized views, global-local information BibRef

Liu, C.X.[Cheng-Xu], Yang, H.[Huan], Fu, J.L.[Jian-Long], Qian, X.M.[Xue-Ming],
4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement,
IP(32), 2023, pp. 4742-4756.
IEEE DOI 2309
BibRef

Jishnu, C.R., Vishnukumar, S.,
Multi exposure image fusion based on exposure correction and input refinement using limited low dynamic range images,
JVCIR(95), 2023, pp. 103907.
Elsevier DOI 2309
Exposure value, Multi-exposure image fusion, Intermediate Exposure Stack, Input refinement, Fast-guided filter BibRef

Fu, Y.B.[Yuan-Bin], Ma, J.Y.[Jia-Yi], Guo, X.J.[Xiao-Jie],
Hierarchical image peeling: A flexible scale-space filtering framework,
CVIU(235), 2023, pp. 103769.
Elsevier DOI 2310
Image enhancement, Scale-space filtering, Recurrent network, Edge detection BibRef

Sekeroglu, B.[Boran],
Time-shift image enhancement method,
IVC(138), 2023, pp. 104810.
Elsevier DOI 2310
Space-time, Time-shift, Image enhancement, Contrast adjustment BibRef

Zheng, N.S.[Nai-Shan], Huang, J.[Jie], Zhao, F.[Feng], Fu, X.Y.[Xue-Yang], Wu, F.[Feng],
Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance,
MultMed(25), 2023, pp. 5469-5484.
IEEE DOI 2311
BibRef

Huang, Y.X.[Ying-Xin], Liu, Z.[Zhenbing], Lu, H.X.[Hao-Xiang], Wang, W.H.[Wen-Hao], Lan, R.[Rushi],
Brighten up Images via Dual-Branch Structure-Texture Awareness Feature Interaction,
SPLetters(31), 2024, pp. 46-50.
IEEE DOI 2401
BibRef

Kim, H.[Heewon], Lee, K.M.[Kyoung Mu],
Learning Controllable ISP for Image Enhancement,
IP(33), 2024, pp. 867-880.
IEEE DOI 2402
Image enhancement, Codes, Neural networks, Decoding, Brightness, Process control, Interpolation, Image enhancement, deep learning BibRef


Luo, X.[Xin], Zhu, Y.[Yunan], Xu, S.[Shunxin], Liu, D.[Dong],
On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement,
ICCV23(13197-13206)
IEEE DOI 2401
BibRef

Tedla, S.[Sai_Kiran], Yang, B.[Beixuan], Brown, M.S.[Michael S.],
Examining Autoexposure for Challenging Scenes,
ICCV23(13030-13039)
IEEE DOI 2401
BibRef

Baek, J.H.[Jong-Hyeon], Kim, D.[DaeHyun], Choi, S.M.[Su-Min], Lee, H.J.[Hyo-Jun], Kim, H.[Hanul], Koh, Y.J.[Yeong Jun],
Luminance-aware Color Transform for Multiple Exposure Correction,
ICCV23(6133-6142)
IEEE DOI Code:
WWW Link. 2401
BibRef

Lim, S.[Seongbin], Beaurepaire, E.[Emmanuel], Chessel, A.[Anatole],
NU-Net: a self-supervised smart filter for enhancing blobs in bioimages,
BioIm23(3886-3895)
IEEE DOI 2401
BibRef

Liang, Z.X.[Zhe-Xin], Li, C.Y.[Chong-Yi], Zhou, S.C.[Shang-Chen], Feng, R.C.[Rui-Cheng], Loy, C.C.[Chen Change],
Iterative Prompt Learning for Unsupervised Backlit Image Enhancement,
ICCV23(8060-8069)
IEEE DOI 2401
BibRef

Dang, J.C.[Jia-Chen], Zhong, Y.[Yong], Wang, L.S.[Li-Shun],
You Only Need 80k Parameters to Enhance Image: Learning Periodic Features for Image Enhancement,
ICIP23(885-889)
IEEE DOI Code:
WWW Link. 2312
BibRef

Zhao, L.J.[Li-Jun], Wang, K.[Ke], Zhang, J.[Jinjing], Zhao, J.[Jie], Wang, A.H.[An-Hong],
A Joint Model-Driven Unfolding Network for Degraded Low-Quality Color-Depth Images Enhancement,
ICIP23(625-629)
IEEE DOI 2312
BibRef

Zheng, Q.H.[Qing-Hai], Zhu, J.[Jihua], Tang, H.Y.[Hao-Yu],
Label Information Bottleneck for Label Enhancement,
CVPR23(7497-7506)
IEEE DOI 2309
BibRef

Huang, J.[Jie], Zhao, F.[Feng], Zhou, M.[Man], Xiao, J.[Jie], Zheng, N.S.[Nai-Shan], Zheng, K.W.[Kai-Wen], Xiong, Z.W.[Zhi-Wei],
Learning Sample Relationship for Exposure Correction,
CVPR23(9904-9913)
IEEE DOI 2309
BibRef

Wang, Y.[Yang], Peng, L.[Long], Li, L.[Liang], Cao, Y.[Yang], Zha, Z.J.[Zheng-Jun],
Decoupling-and-Aggregating for Image Exposure Correction,
CVPR23(18115-18124)
IEEE DOI 2309
BibRef

Miangoleh, S.M.H.[S. Mahdi H.], Bylinskii, Z.[Zoya], Kee, E.[Eric], Shechtman, E.[Eli], Aksoy, Y.[Yagiz],
Realistic Saliency Guided Image Enhancement,
CVPR23(186-194)
IEEE DOI 2309
BibRef

Takao, S.[Shunsuke],
Zero-shot Image Enhancement with Renovated Laplacian Pyramid,
VIPriors22(721-737).
Springer DOI 2304
BibRef

Feng, R.C.[Rui-Cheng], Li, C.Y.[Chong-Yi], Zhou, S.C.[Shang-Chen], Sun, W.X.[Wen-Xiu], Zhu, Q.P.[Qing-Peng], Jiang, J.[Jun], Yang, Q.Y.[Qing-Yu], Loy, C.C.[Chen Change], Gu, J.W.[Jin-Wei], Zhu, Y.R.[Yu-Rui], Wang, X.[Xi], Fu, X.[Xueyang], Hu, X.W.[Xiao-Wei], Hu, J.[Jinfan], Liu, X.[Xina], Chen, X.Y.[Xiang-Yu], Dong, C.[Chao], Zhang, D.[Dafeng], Huang, F.Y.[Fei-Yu], Liu, S.Z.[Shi-Zhuo], Wang, X.B.[Xia-Bing], Jin, Z.[Zhezhu], Jiang, X.[Xuhao], Shao, G.Q.[Guang-Qi], Wang, X.T.[Xiao-Tao], Lei, L.[Lei], Zhang, Z.[Zhao], Zhao, S.[Suiyi], Zheng, H.[Huan], Gao, Y.C.[Yang-Cheng], Wei, Y.Y.[Yan-Yan], Ren, J.H.[Jia-Huan], Huang, T.[Tao], Fang, Z.[Zhenxuan], Huang, M.L.[Meng-Luan], Xu, J.W.[Jun-Wei], Zhang, Y.[Yong], Yang, Y.[Yuechi], Shu, Q.[Qidi], Yang, Z.W.[Zhi-Wen], Li, S.C.[Shao-Cong], Yao, M.[Mingde], Xu, R.K.[Rui-Kang], Guan, Y.S.[Yuan-Shen], Huang, J.[Jie], Xiong, Z.W.[Zhi-Wei], Zhu, H.Y.[Hang-Yan], Liu, M.[Ming], Liu, S.H.[Shao-Hui], Zuo, W.M.[Wang-Meng], Jia, Z.[Zhuang], Song, B.B.[Bin-Bin], Song, Z.Q.[Zi-Qi], Mao, G.[Guiting], Hou, B.[Ben], Liu, Z.[Zhimou], Ke, Y.[Yi], Ouyang, D.[Dengpei], Han, D.[Dekui], Zhang, J.[Jinghao], Zhu, Q.[Qi], Zheng, N.[Naishan], Zhao, F.[Feng], Jin, W.[Wu], Conde, M.[Marcos], Nathan, S.[Sabari], Timofte, R.[Radu], Xu, T.Y.[Tian-Yi], Xu, J.[Jun], Hrishikesh, P.S., Puthussery, D.[Densen], Jiji, C.V., Jiang, B.[Biao], Ding, Y.H.[Yu-Han], Li, W.[WanZhang], Feng, X.Y.[Xiao-Yue], Chen, S.J.[Si-Jing], Zhong, T.H.[Tian-Heng], Lu, J.[Jiyang], Chen, H.M.[Hong-Ming], Fan, Z.T.[Zhen-Tao], Chen, X.[Xiang],
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results,
MIPI22(60-77).
Springer DOI
WWW Link. 2304
BibRef

Song, B.B.[Bin-Bin], Chen, X.Y.[Xiang-Yu], Xu, S.[Shuning], Zhou, J.T.[Jian-Tao],
Under-Display Camera Image Restoration with Scattering Effect,
ICCV23(12546-12555)
IEEE DOI Code:
WWW Link. 2401
BibRef

Liu, C.X.[Cheng-Xu], Wang, X.[Xuan], Li, S.[Shuai], Wang, Y.Z.[Yu-Zhi], Qian, X.M.[Xue-Ming],
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras,
ICCV23(12503-12512)
IEEE DOI 2401
BibRef

Liu, X.[Xina], Hu, J.[Jinfan], Chen, X.Y.[Xiang-Yu], Dong, C.[Chao],
UDC-UNET: Under-display Camera Image Restoration via U-shape Dynamic Network,
MIPI22(113-129).
Springer DOI 2304
BibRef

Zhu, Y.R.[Yu-Rui], Wang, X.[Xi], Fu, X.Y.[Xue-Yang], Hu, X.W.[Xiao-Wei],
Enhanced Coarse-to-fine Network for Image Restoration from Under-display Cameras,
MIPI22(130-146).
Springer DOI 2304
BibRef

Wang, H.Y.[Hao-Yuan], Xu, K.[Ke], Lau, R.W.H.[Rynson W. H.],
Local Color Distributions Prior for Image Enhancement,
ECCV22(XVIII:343-359).
Springer DOI 2211
BibRef

Messias, L.R.V.[Lucas R. V.], Drews, P.L.J.[Paulo L. J.], Botelho, S.S.C.[Silvia S. C.],
Attention-Based Neural Network For Ill-Exposed Image Correction,
ICIP22(3913-3917)
IEEE DOI 2211
Measurement, Image quality, Image edge detection, Semantics, Data preprocessing, Data models, Deep Learning, Image Processing, Attention BibRef

Yang, C.Q.[Can-Qian], Jin, M.G.[Mei-Guang], Xu, Y.[Yi], Zhang, R.[Rui], Chen, Y.[Ying], Liu, H.[Huaida],
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement,
ECCV22(XVIII:201-217).
Springer DOI 2211
BibRef

Yang, C.Q.[Can-Qian], Jin, M.G.[Mei-Guang], Jia, X.[Xu], Xu, Y.[Yi], Chen, Y.[Ying],
AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement,
CVPR22(17501-17510)
IEEE DOI 2210

WWW Link. Photography, Solid modeling, Image color analysis, Transforms, Real-time systems, Table lookup, Low-level vision, Computational photography BibRef

Eyiokur, F.I.[F. Irem], Yaman, D.[Dogucan], Ekenel, H.K.[Hazim Kemal], Waibel, A.[Alexander],
Exposure Correction Model to Enhance Image Quality,
NTIRE22(675-685)
IEEE DOI 2210
Degradation, Training, Image quality, Adaptation models, Computational modeling, Stability analysis BibRef

Zhang, Z.Y.[Zhao-Yang], Jiang, Y.T.[Yi-Tong], Jiang, J.[Jun], Wang, X.G.[Xiao-Gang], Luo, P.[Ping], Gu, J.[Jinwei],
STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement,
ICCV21(4086-4095)
IEEE DOI 2203
Image quality, Adaptation models, Image color analysis, Lighting, Streaming media, Transformers, Real-time systems, BibRef

Wang, T.[Tao], Li, Y.[Yong], Peng, J.Y.[Jing-Yang], Ma, Y.P.[Yi-Peng], Wang, X.[Xian], Song, F.L.[Feng-Long], Yan, Y.[Youliang],
Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables,
ICCV21(2451-2460)
IEEE DOI 2203
Fuses, Computational modeling, Graphics processing units, Transforms, Real-time systems, Table lookup, BibRef

Mastan, I.D.[Indra Deep], Raman, S.[Shanmuganathan], Singh, P.[Prajwal],
DILIE: Deep Internal Learning for Image Enhancement,
VAQuality22(24-33)
IEEE DOI 2202
Training, Degradation, Conferences, Semantics, Measurement uncertainty, Noise measurement BibRef

Huang, T.W.[Tsung-Wei], Su, G.M.[Guan-Ming],
Revertible Guidance Image Based Image Detail Enhancement,
ICIP21(1704-1708)
IEEE DOI 2201
Image processing, Task analysis, Optimization, Image detail enhancement, revertible enhancement BibRef

Gong, Y.H.[Yuan-Hao], Tang, W.M.[Wen-Ming], Zhou, L.[Lebin], Yu, L.[Lantao], Qiu, G.P.[Guo-Ping],
Quarter Laplacian Filter for Edge Aware Image Processing,
ICIP21(1959-1963)
IEEE DOI 2201
Laplace equations, Smoothing methods, Image edge detection, Real-time systems, Task analysis, Image enhancement, quarter, box BibRef

Cao, P.[Peibei], Wang, Z.Y.[Zhang-Yang], Ma, K.[Kede],
Debiased Subjective Assessment of Real-World Image Enhancement,
CVPR21(711-721)
IEEE DOI 2111
Photography, Measurement, Visualization, Machine vision, Superresolution, Quality assessment, Pattern recognition BibRef

Liang, L.M.[Lu-Ming], Zharkov, I.[Ilya], Amjadi, F.[Faezeh], Joze, H.R.V.[Hamid Reza Vaezi], Pradeep, V.[Vivek],
Guidance Network with Staged Learning for Image enhancement,
NTIRE21(836-845)
IEEE DOI 2109
Training, Photography, Image color analysis, Lighting, Cameras, Service-oriented architecture BibRef

Tatanov, O.[Oktai], Samarin, A.[Aleksei],
LFIEM: Lightweight Filter-based Image Enhancement Model,
ICPR21(873-878)
IEEE DOI 2105
Performance evaluation, Computational modeling, Neural networks, Semisupervised learning, Mobile handsets BibRef

Chen, Q.L.[Qing-Li], Huang, G.[Guo], Qin, H.Y.[Hong-Yin],
A Hybrid Differential Algorithm for Image Enhancement,
CVIDL20(96-99)
IEEE DOI 2102
image enhancement, image texture, smoothing methods, hybrid differential algorithm, integer order differential BibRef

Yi, N., Ma, Q.,
Image quality improvement of 8K LCD displays via process optimization,
CVIDL20(169-172)
IEEE DOI 2102
crosstalk, liquid crystal displays, image quality improvement, LCD displays, process optimization, high-resolution displays, LCD displays BibRef

Fang, Y., Zhu, W., Zhu, Q.,
UGNet: Underexposed Images Enhancement Network based on Global Illumination Estimation,
VCIP20(415-418)
IEEE DOI 2102
Lighting, Image color analysis, Convolution, Image enhancement, Estimation, Training, Task analysis, underexposed enhancement, smooth dilated convolution BibRef

Zhou, J., Wan, R., Li, H., Kot, A.C.,
The Enhancement of Underexposed Images with Blurred Reflectance,
VCIP20(495-498)
IEEE DOI 2102
Reflectivity, Training, Measurement, Visual communication, Computational modeling, Distortion, Task analysis, Low-light image, reflectance BibRef

Kim, H.U.[Han-Ul], Koh, Y.J.[Young Jun], Kim, C.S.[Chang-Su],
Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement,
ECCV20(XXV:339-354).
Springer DOI 2011
BibRef

Ueda, Y.[Yoshiaki], Koga, T.[Takanori], Suetake, N.[Noriaki],
Fusion-Based Backlit Image Enhancement Using Multiple S-Type Transformations For Convex Combination Coefficients,
ICIP22(2971-2975)
IEEE DOI 2211
Image quality, Histograms, Transforms, Object recognition, Image enhancement, Backlit image, image enhancement, image fusion BibRef

Ueda, Y., Moriyama, D., Koga, T., Suetake, N.,
Histogram Specification-Based Image Enhancement for Backlit Image,
ICIP20(958-962)
IEEE DOI 2011
Histograms, Image enhancement, Entropy, Shape, Image edge detection, Laplace equations, Image quality, Backlit image, image enhancement, bimodal distribution BibRef

Son, T.Y.[Tae-Young], Kang, J.[Juwon], Kim, N.[Namyup], Cho, S.H.[Sung-Hyun], Kwak, S.[Suha],
URIE: Universal Image Enhancement for Visual Recognition in the Wild,
ECCV20(IX:749-765).
Springer DOI 2011
Enhancement optimized to improve recognition. BibRef

Kim, H.U.[Han-Ul], Koh, Y.J.[Young Jun], Kim, C.S.[Chang-Su],
Pienet: Personalized Image Enhancement Network,
ECCV20(XXX: 374-390).
Springer DOI 2010
BibRef

Xing, Q.L.[Qun-Liang], Xu, M.[Mai], Li, T.Y.[Tian-Yi], Guan, Z.Y.[Zhen-Yu],
Early Exit or Not: Resource-efficient Blind Quality Enhancement for Compressed Images,
ECCV20(XVI: 275-292).
Springer DOI 2010
BibRef

Moran, S., Marza, P., McDonagh, S., Parisot, S., Slabaugh, G.,
DeepLPF: Deep Local Parametric Filters for Image Enhancement,
CVPR20(12823-12832)
IEEE DOI 2008
Tools, Image enhancement, Streaming media, Manuals, Brushes, Image color analysis, Feature extraction BibRef

Zhu, D., Chen, G., Michelini, P.N., Liu, H.,
Fast Image Enhancement Based on Maximum and Guided Filters,
ICIP19(4080-4084)
IEEE DOI 1910
Guided filter, Image decomposition, Maximum filter, Image enhancement, Retinex theory BibRef

Galteri, L.[Leonardo], Seidenari, L.[Lorenzo], Bertini, M.[Marco], del Bimbo, A.[Alberto],
Towards Real-Time Image Enhancement GANs,
CAIP19(I:183-195).
Springer DOI 1909
BibRef

Ghosh, S.[Soumya], Hua, Y.[Yang], Mukherjee, S.S.[Sankha Subhra], Robertson, N.[Neil],
IEGAN: Multi-Purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network,
WACV19(11-20)
IEEE DOI 1904
image colour analysis, image enhancement, image reconstruction, image resolution, image texture, realistic images, IEGAN, Feature extraction BibRef

Sharma, V., Diba, A., Neven, D., Brown, M.S., Van Gool, L.J., Stiefelhagen, R.,
Classification-Driven Dynamic Image Enhancement,
CVPR18(4033-4041)
IEEE DOI 1812
Image enhancement, Training, Task analysis, Degradation, Image coding, Image color analysis BibRef

Ignatov, A., Kobyshev, N., Timofte, R., Vanhoey, K., Van Gool, L.J.,
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras,
Restoration18(804-80409)
IEEE DOI 1812
Cameras, Image color analysis, Training, Generators, Image resolution BibRef

Chen, Y., Wang, Y., Kao, M., Chuang, Y.,
Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs,
CVPR18(6306-6314)
IEEE DOI 1812
Generators, Training, Cameras, Image enhancement, Image color analysis, Feature extraction BibRef

Honig, S.[Shachar], Werman, M.[Michael],
Image Declipping with Deep Networks,
ICIP18(3923-3927)
IEEE DOI 1809
Recover lost pixel values (due to over/under exposure). Image reconstruction, Image color analysis, Generators, Neural networks, Convolution, Clipping BibRef

Nishimura, J.[Jun], Gerasimow, T.[Timo], Sushma, R.[Rao], Sutic, A.[Aleksandar], Wu, C.T.[Chyuan-Tyng], Michael, G.[Gilad],
Automatic ISP Image Quality Tuning Using Nonlinear Optimization,
ICIP18(2471-2475)
IEEE DOI 1809
Image Signal Processor. Tuning, Optimization, Noise reduction, Image quality, Signal processing algorithms, Imaging, Evolutionary computation, Nonlinear Optimization BibRef

Bai, C., Reibman, A.R.,
Controllable Image Illumination Enhancement with an Over-Enhancement Measure,
ICIP18(385-389)
IEEE DOI 1809
Lighting, Image quality, Distortion, Videos, Cameras, Phase measurement, Image color analysis, image enhancement, subjective test BibRef

Wang, W., Wei, C., Yang, W., Liu, J.,
GLADNet: Low-Light Enhancement Network with Global Awareness,
FG18(751-755)
IEEE DOI 1806
Estimation, Google, Image reconstruction, Lighting, Training, Visualization, deep learning, detail reconstruction, low-light enhancement BibRef

Shen, X., Gao, H., Tao, X., Zhou, C., Jia, J.,
High-Quality Correspondence and Segmentation Estimation for Dual-Lens Smart-Phone Portraits,
ICCV17(3277-3286)
IEEE DOI 1802
feature extraction, image matching, image segmentation, image texture, object detection, smart phones, 2 image pairs, Semantics BibRef

Chandakkar, P.S., Li, B.,
Joint Regression and Ranking for Image Enhancement,
WACV17(235-243)
IEEE DOI 1609
Brightness, Feature extraction, Image enhancement, Kernel, Testing, Tools, Training BibRef

Chandakkar, P.S., Li, B.,
A structured approach to predicting image enhancement parameters,
WACV16(1-9)
IEEE DOI 1606
Computational modeling BibRef

Yaghoobi, S., Hemayat, S., Mojallali, H.,
Image gray-level enhancement using Black Hole algorithm,
IPRIA15(1-5)
IEEE DOI 1603
genetic algorithms BibRef

Banic, N.[Nikola], Loncaric, S.[Sven],
Firefly: A hardware-friendly real-time local brightness adjustment method,
ICIP15(3951-3955)
IEEE DOI 1512
Brightness adjustment BibRef

Gong, Y.H.[Yuan-Hao], Sbalzarini, I.F.[Ivo F.],
Image Enhancement by Gradient Distribution Specification,
Restoration14(II: 47-62).
Springer DOI 1504
BibRef

Zhang, S.J.[Shi-Jie], Zhang, J.[Jing], Fang, S.[Shuai], Cao, Y.[Yang],
Underwater stereo image enhancement using a new physical model,
ICIP14(5422-5426)
IEEE DOI 1502
Attenuation BibRef

Zhang, X.[Xing], Lyu, S.W.[Si-Wei],
Blind estimation of pixel brightness transform,
ICIP14(4472-4476)
IEEE DOI 1502
Brightness BibRef

Vargas, C.[Camilo], Molina, J.[Jeyson], Branch, J.W.[John W.], Restrepo, A.[Alejandro],
Image Preprocessing Assessment Detecting Low Contrast Regions under Non-homogeneous Light Conditions,
PSIVTWS13(102-112).
Springer DOI 1402
BibRef

Sohaib, A.[Ahmed], Habili, N.[Nariman], Robles-Kelly, A.[Antonio],
Automatic exposure control for multispectral cameras,
ICIP13(2043-2047)
IEEE DOI 1402
Auto-Exposure;hyper-spectral imaging;multi-spectral imaging BibRef

Shu, X.[Xiao], Wu, X.L.[Xiao-Lin],
Image enhancement revisited: From first order to second order statistics,
ICIP13(886-890)
IEEE DOI 1402
Dynamic range BibRef

Choudhury, A.[Anustup], van Beek, P.[Peter], Segall, A.[Andrew],
Image detail enhancement using a dictionary technique,
ICIP12(977-980).
IEEE DOI 1302
BibRef

Wang, L.P.[Lu-Ping], Mafeng,
High-dynamic-range infrared image enhancement and hardware design,
CVRS12(127-131).
IEEE DOI 1302
BibRef

Shih, Y.C.[Yi-Chang], Guenter, B.[Brian], Joshi, N.[Neel],
Image Enhancement Using Calibrated Lens Simulations,
ECCV12(IV: 42-56).
Springer DOI 1210
BibRef

Moghaddam, A.A., Rangarajan, L.,
Enhancing Radiographic Images Using Two Dimensional Left Median Filter,
NCVPRIPG11(204-206).
IEEE DOI 1205
BibRef

Corchs, S.[Silvia], Gasparini, F.[Francesca],
Enhancing Underexposed Images Preserving the Original Mood,
CCIW11(125-136).
Springer DOI 1104
BibRef

Li, Z.L.[Ze-Lin], Zhang, J.[Jian], Wu, Q.A.[Qi-Ang], Geers, G.[Glenn],
Feature Enhancement Using Gradient Salience on Thermal Image,
DICTA10(556-562).
IEEE DOI 1012
BibRef

Zhang, Q.[Qieshi], Inaba, H., Kamata, S.,
Adaptive Histogram Analysis for Image Enhancement,
PSIVT10(408-413).
IEEE DOI 1011
BibRef

Jen, T.C.[Tzu-Cheng], Wang, S.J.[Sheng-Jyh],
An efficient Bayesian framework for image enhancement with spatial consideration,
ICIP10(3285-3288).
IEEE DOI 1009
BibRef

Celebi, A.T.[Aysun Tasyapi], Erturk, S.[Sarp],
Empirical mode decomposition based visual enhancement of underwater images,
IPTA10(221-224).
IEEE DOI 1007
BibRef

Ilstrup, D.[David], Manduchi, R.[Roberto],
One-Shot Optimal Exposure Control,
ECCV10(I: 200-213).
Springer DOI 1009
BibRef

Bhandari, D.[Dinabandhu], Murthy, C.A., Pal, S.K.[Sankar K.],
Image Enhancement Using Multi-objective Genetic Algorithms,
PReMI09(309-314).
Springer DOI 0912
BibRef

Dale, K.[Kevin], Johnson, M.K.[Micah K.], Sunkavalli, K.[Kalyan], Matusik, W.[Wojciech], Pfister, H.[Hanspeter],
Image restoration using online photo collections,
ICCV09(2217-2224).
IEEE DOI 0909
Find closest match in database, fix from context. BibRef

Han, C.Y.[Cui-Ying], Kong, J.[Juan],
Research and Analyze about Signal Enhancement Algorithm in Image Recognition System,
ICMV09(255-258).
IEEE DOI 0912
BibRef

Sandberg, K.[Kristian],
The Curve Filter Transform: A Robust Method for Curve Enhancement,
ISVC10(II: 107-116).
Springer DOI 1011
BibRef
Earlier:
Curve Enhancement Using Orientation Fields,
ISVC09(I: 564-575).
Springer DOI 0911
Enhancing curve structures in electron microscope images. BibRef

Xie, X.D.[Xiao-Dong], Shi, Z.F.[Zai-Feng], Guo, W.[Wei], Yao, S.Y.[Su-Ying],
An Adaptive Image Enhancement Technique Based on Image Characteristic,
CISP09(1-5).
IEEE DOI 0910
BibRef

Yin, C.T.[Cheng-Tian], Liu, G.P.[Guo-Ping], Hu, R.H.[Rong-Hua], Guo, P.[Ping],
An Improved Image Enhancement Method Based-on Reformative Histogram Specification and its Application in Continuous Cast Slab,
CISP09(1-4).
IEEE DOI 0910
BibRef

Khayat, O.[Omid], Razjouyan, J., Aghvami, M., Shahdoosti, H.R.[Hamid Reza], Loni, B.,
An automated GA-based fuzzy image enhancement method,
CIIP09(14-19).
IEEE DOI 0903
BibRef

Lai, M.J.[Ming-Jun], Lucier, B.[Bradley], Wang, J.Y.[Jing-Yue],
The Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising,
SSVM09(514-526).
Springer DOI 0906

See also Nonlinear total variation based noise removal algorithms. BibRef

Prasath, V.B.S.[V.B. Surya], Singh, A.[Arindama],
Edge Detectors Based Anisotropic Diffusion for Enhancement of Digital Images,
ICCVGIP08(33-38).
IEEE DOI 0812
BibRef

Koutsias, N.[Nikos], Mallinis, G.[Giorgos], Karteris, M.[Michael],
A forward/backward principal component analysis of Landsat-7 ETM+ data to enhance the spectral signal of burnt surfaces,
PandRS(64), No. 1, January 2009, pp. 37-46.
Elsevier DOI 0804
Fire scars; Satellite; Principal component analysis; Landsat-7 ETM+; Image enhancement BibRef

Jen, T.C.[Tzu-Cheng], Wang, S.J.[Sheng-Jyh],
Image enhancement based on quadratic programming,
ICIP08(3164-3167).
IEEE DOI 0810
BibRef

Su, P.Y.[Po-Yen], Huang, Y.H.[Yi-Hsin], Ou, T.S.[Tao-Sheng], Chen, H.H.[Homer H.],
Recent progress on perceptual video coding,
VCIP11(1).
IEEE DOI 1201
BibRef

Huang, T.H.[Tai-Hsiang], Liang, C.K.[Chia-Kai], Yeh, S.L.[Su-Ling], Chen, H.H.[Homer H.],
JND-based enhancement of perceptibility for dim images,
ICIP08(1752-1755).
IEEE DOI 0810
BibRef

Hassan, F.[Firas], Carletta, J.E.[Joan E.],
High throughput JPEG2000 compatible encoder for high dynamic range images,
ICIP08(1424-1427).
IEEE DOI 0810
BibRef
Earlier:
A High Throughput Encoder for High Dynamic Range Images,
ICIP07(VI: 213-216).
IEEE DOI 0709
BibRef

Zhao, W.Y.[Wen-Yi], Zhang, C.[Chao],
Efficient Scene-based Nonuniformity Correction and Enhancement,
ICIP06(2873-2876).
IEEE DOI 0610
BibRef

Mlsna, P.A., Becker, T.,
Striping Artifact Reduction in Lunar Orbiter Mosaic Images,
Southwest06(95-99).
IEEE DOI 0603
BibRef

Azzabou, N.[Noura], Paragios, N.[Nikos], Guichard, F.[Frederic],
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement,
ECCV06(I: 379-390).
Springer DOI 0608

See also Variable Bandwidth Image Denoising Using Image-based Noise Models.
See also Image Reconstruction Using Particle Filters and Multiple Hypotheses Testing. BibRef

Ye, Q.H.[Qing-Hua], Huang, H.N.[Hai-Ning], Zhang, C.H.[Chun-Hua],
Image enhancement using stochastic resonance,
ICIP04(I: 263-266).
IEEE DOI 0505
BibRef

Huang, M.Y.[Mao-Yu], Tseng, D.C.[Din-Chang], Liu, M.S.C.,
Wavelet image enhancement based on Teager energy operator,
ICPR02(II: 993-996).
IEEE DOI 0211
BibRef

Nougaret, J.L., Ohmori, M.,
An Information Appliance Capable of Seamless Screen-display Atop Printed Matter: Towards Paper-anchored Hypertext and Multimedia,
ICIP01(I: 1110-1113).
IEEE DOI 0108
BibRef

Wang, Y.P., Wu, Q.A., Castleman, K.R., Xiong, Z.X.,
Image Enhancement Using Multiscale Oriented Wavelets,
ICIP01(I: 610-613).
IEEE DOI 0108
BibRef

Itoh, Y.[Yasumasa], Izumi, Y.[Yoshinori], Tanaka, Y.[Yutaka],
Image Enhancement Based on Estimation of High Resolution Component Using Wavelet Transform,
ICIP99(III:489-493).
IEEE DOI BibRef 9900

Lai, P.C.[Pak-Cheung], Zeng, B.[Bing],
Threshold pattern filters for image enhancement,
ICIP99(II:434-437).
IEEE DOI BibRef 9900

Coltuc, D.[Dinu], Bolon, P.[Philippe],
Strict Ordering On Discrete Images and Applications,
ICIP99(III:150-153).
IEEE DOI BibRef 9900

Rauschenbach, U.[Uwe],
The Rectangular Fish Eye View as an Efficient Method for the Transmission and Display of Large Images,
ICIP99(III:115-119).
IEEE DOI BibRef 9900

Schutte, K.[Klamer],
Multi-Scale Adaptive Gain Control of IR Images,
SPIE(3061), April 1997, pp. 906-914. BibRef 9704

Bernstein, R., Mitra, S.K., and Moore, M.S.,
Adjustable Quadratic Filters for Image Enhancement,
ICIP97(I: 287-290).
IEEE DOI
PDF File. BibRef 9700

Regincos-Isern, J., Batlle, J.,
A system to reduce the effect of CCDs saturation,
ICIP96(I: 1001-1004).
IEEE DOI 9610
BibRef

Peng, S., Lucke, L.,
A hybrid filter for image enhancement,
ICIP95(I: 163-166).
IEEE DOI 9510
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Image Enhancement, Survey, Review, Evaluation .


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