5.6 Image Enhancement and Display

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.,
Dimensionality Reduction for Registration of High-Dimensional Data Sets,
IP(22), No. 8, 2013, pp. 3041-3049.
IEEE DOI 1307
Cramer-Rao lower bounds; dimensionality reduction; pairwise image registration BibRef

Zhu, Y.X.[Ying-Xuan], Varshney, P.K.[Pramod K.], Chen, H.[Hao],
Dimensionality Reduction of Hyperspectral Images for Color Display using Segmented Independent Component Analysis,
ICIP07(IV: 97-100).
IEEE DOI 0709
BibRef

Peng, R., Varshney, P.K.,
Noise-refined image enhancement using multi-objective optimisation,
IET-IPR(7), No. 3, 2013, pp. 191-200.
DOI Link 1307
BibRef

Neumann, L.[László], García, R.[Rafael], Basa, J.[János], Hegedüs, R.[Ramón],
Acquisition and visualization techniques for narrow spectral color imaging,
JOSA-A(30), No. 6, June 2013, pp. 1039-1052.
DOI Link 1307
BibRef

Wang, S., Zheng, J., Hu, H.M., Li, B.,
Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images,
IP(22), No. 9, 2013, pp. 3538-3548.
IEEE DOI 1309
Bi-log transformation BibRef

Atta, R.[Randa], Ghanbari, M.[Mohammad],
Low-contrast satellite images enhancement using discrete cosine transform pyramid and singular value decomposition,
IET-IPR(7), No. 5, 2013, pp. 472-483.
DOI Link 1310
BibRef

Guidotti, P., Kim, Y., Lambers, J.,
Image Restoration with a New Class of Forward-Backward-Forward Diffusion Equations of Perona-Malik Type with Applications to Satellite Image Enhancement,
SIIMS(6), No. 3, 2013, pp. 1416-1444.
DOI Link 1310
BibRef

Hou, L., Ji, H., Shen, Z.,
Recovering Over-/Underexposed Regions in Photographs,
SIIMS(6), No. 4, 2013, pp. 2213-2235.
DOI Link 1402
BibRef

Liu, J.[Jun], Wang, X.[Xing], Chen, M.[Min], Liu, S.G.[Shu-Guang], Shao, Z.F.[Zhen-Feng], Zhou, X.R.[Xi-Ran], Liu, P.[Ping],
Illumination and Contrast Balancing for Remote Sensing Images,
RS(6), No. 2, 2014, pp. 1102-1123.
DOI Link 1403
BibRef

Kapoor, A.[Ashish], Caicedo, J.C.[Juan C.], Lischinski, D.[Dani], Kang, S.B.[Sing Bing],
Collaborative Personalization of Image Enhancement,
IJCV(108), No. 1-2, May 2014, pp. 148-164.
Springer DOI 1405
BibRef

Hwang, S.J.[Sung Ju], Kapoor, A.[Ashish], Kang, S.B.[Sing Bing],
Context-Based Automatic Local Image Enhancement,
ECCV12(I: 569-582).
Springer DOI 1210
BibRef

Shen, C.T.[Chih-Tsung], Liu, H.H.[Hung-Hsun], Yang, M.H.[Ming-Hsuan], Hung, Y.P.[Yi-Ping], Pei, S.C.[Soo-Chang],
Viewing-Distance Aware Super-Resolution for High-Definition Display,
IP(24), No. 1, January 2015, pp. 403-418.
IEEE DOI 1502
display instrumentation BibRef

Anzagira, L.[Leo], Fossum, E.R.[Eric R.],
Color filter array patterns for small-pixel image sensors with substantial cross talk,
JOSA-A(32), No. 1, January 2015, pp. 28-34.
DOI Link 1502
Imaging systems. For enhancement for display, issues with subdiffraction-limit pixels. BibRef

Hasikin, K.[Khairunnisa], Isa, N.A.M.[Nor Ashidi Mat],
Adaptive fuzzy intensity measure enhancement technique for non-uniform illumination and low-contrast images,
SIViP(9), No. 6, September 2015, pp. 1419-1442.
WWW Link. 1509
BibRef

Asmare, M.H.[Melkamu Hunegnaw], Asirvadam, V.S.[Vijanth S.], Hani, A.F.M.[Ahmad Fadzil M.],
Image enhancement based on contourlet transform,
SIViP(9), No. 7, October 2015, pp. 1679-1690.
Springer DOI 1509
BibRef

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)
IEEE DOI 1612
BibRef

Liu, J., Li, Z.,
Binary image enhancement based on aperiodic stochastic resonance,
IET-IPR(9), No. 12, 2015, pp. 1033-1038.
DOI Link 1512
image denoising BibRef

Gupta, P.[Pooja], Pahwa, K.[Kuldip],
Clock Algorithm Analysis for Increasing Quality of Digital Images,
IJIG(16), No. 03, 2016, pp. 1650016.
DOI Link 1608
BibRef

Hao, S.J.[Shi-Jie], Guo, Y.R.[Yan-Rong], Hong, R.C.[Ri-Chang], Wang, M.[Meng],
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,
RealTimeIP(13), No. 4, December 2017, pp. 783-796.
Springer DOI 1712
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.
WWW Link. 1801
BibRef

Cai, J., Gu, S., Zhang, L.,
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,
IET-CV(12), No. 4, June 2018, pp. 424-433.
DOI Link 1805
BibRef

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,
RS(10), No. 5, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Liu, C.W.[Cheng-Wei], Sui, X.[Xiubao], Kuang, X.D.[Xiao-Dong], Liu, Y.[Yuan], Gu, G.H.[Guo-Hua], Chen, Q.[Qian],
Adaptive Contrast Enhancement for Infrared Images Based on the Neighborhood Conditional Histogram,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

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.
DOI Link 1812
BibRef

Liu, R.S.[Ri-Sheng], Ma, L.[Long], Wang, Y.Y.[Yi-Yang], Zhang, L.[Lei],
Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement,
IP(28), No. 3, March 2019, pp. 1528-1543.
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

Zhang, Y.B.[Yong-Bin], Liu, H.J.[Hong-Jun], Huang, N.[Nan], Wang, Z.L.[Zhao-Lu],
Dynamical stochastic resonance for non-uniform illumination image enhancement,
IET-IPR(12), No. 12, December 2018, pp. 2147-2152.
DOI Link 1812
BibRef

Yang, X.M.[Xiao-Min], Jian, L.H.[Li-Hua], Wu, W.[Wei], Liu, K.[Kai], Yan, B.[Binyu], Zhou, Z.L.[Zhi-Li], Peng, J.[Jian],
Implementing real-time RCF-Retinex image enhancement method using CUDA,
RealTimeIP(16), No. 1, February 2019, pp. 115-125.
Springer DOI
WWW Link. 1902
BibRef

Al-Ameen, Z.[Zohair],
Nighttime image enhancement using a new illumination boost algorithm,
IET-IPR(13), No. 8, 20 June 2019, pp. 1314-1320.
DOI Link 1906
BibRef

Yeh, C., Lo, K.S., Lin, W.,
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

Montazeri, M.[Mitra],
Memetic Algorithm Image Enhancement for Preserving Mean Brightness Without Losing Image Features,
IJIG(19), No. 4 2019, pp. 1950020.
DOI Link 2001
BibRef

Joshi, P.[Piyush], Prakash, S.[Surya],
Image enhancement with naturalness preservation,
VC(36), No. 1, January 2020, pp. 71-83.
WWW Link. 2001
BibRef

Ye, Q.L.[Qiu-Liang], Ling, B.W.K.[Bingo Wing-Kuen], Lun, D.P.K.[Daniel P. K.], Kuang, W.C.[Wei-Chao],
Parallel implementation of empirical mode decomposition for nearly bandlimited signals via polyphase representation,
SIViP(14), No. 2, March 2020, pp. 225-232.
Springer DOI 2003
BibRef

Bianco, S., Cusano, C., Piccoli, F., Schettini, R.,
Personalized Image Enhancement Using Neural Spline Color Transforms,
IP(29), 2020, pp. 6223-6236.
IEEE DOI 2005
Image enhancement, deep learning, data-driven methods, convolutional neural networks BibRef

Coliban, R.M.[Radu-Mihai], Marincas, M.[Maria], Hatfaludi, C.[Cosmin], Ivanovici, M.[Mihai],
Linear and Non-Linear Models for Remotely-Sensed Hyperspectral Image Visualization,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Ni, Z.K.[Zhang-Kai], Yang, W.H.[Wen-Han], Wang, S.Q.[Shi-Qi], Ma, L.[Lin], Kwong, S.[Sam],
Towards Unsupervised Deep Image Enhancement With Generative Adversarial Network,
IP(29), 2020, pp. 9140-9151.
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,
SPLetters(27), 2020, pp. 1844-1848.
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.
DOI Link 2102
BibRef

Jiang, Y., Gong, X., Liu, D., Cheng, Y., Fang, C., Shen, X., Yang, J., Zhou, P., Wang, Z.,
EnlightenGAN: Deep Light Enhancement Without Paired Supervision,
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,
IET-IPR(14), No. 15, 15 December 2020, pp. 3880-3889.
DOI Link 2103
BibRef

Yin, J.L., Chen, B.H., Peng, Y.T., Tsai, C.C.,
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,
IET-IPR(14), No. 16, 19 December 2020, pp. 4329-4339.
DOI Link 2103
Survey, Image Enhancement. BibRef
Earlier:
On Image Enhancement for Unsupervised Image Description and Matching,
CIAP19(II:82-92).
Springer DOI 1909
BibRef

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.
DOI Link 2109
BibRef

Kaplan, N.H., Erer, I.,
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.
DOI Link 2112
BibRef

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
BibRef

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.
DOI Link 2201
BibRef

Shen, W.W.[Wei-Wei], Chen, L.[Lin], Liu, S.[Shuai], Zhang, Y.D.[Yu-Dong],
An image enhancement algorithm of video surveillance scene based on deep learning,
IET-IPR(16), No. 3, 2022, pp. 681-690.
DOI Link 2202
BibRef

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.
DOI Link 2202
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
BibRef

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
BibRef

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
BibRef

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

Fu, Y.[Ying], Hong, Y.[Yang], Zou, Y.H.[Yun-Hao], Liu, Q.[Qiankun], Zhang, Y.M.[Yi-Ming], Liu, N.[Ning], Yan, C.G.[Cheng-Gang],
Raw Image Based Over-Exposure Correction Using Channel-Guidance Strategy,
CirSysVideo(34), No. 4, April 2024, pp. 2749-2762.
IEEE DOI Code:
WWW Link. 2404
Image color analysis, Task analysis, Entropy, Sensors, Correlation, Sensitivity, Digital cameras, Over-exposure correction, real-world benchmark BibRef

Li, Z.[Ziwen], Shao, Y.J.[Yuan-Jie], Zhang, F.[Feng], Zhang, J.[Jinpu], Wang, Y.[Yuehuan], Sang, N.[Nong],
Difficulty-Aware Dynamic Network for Lightweight Exposure Correction,
CirSysVideo(34), No. 6, June 2024, pp. 5033-5048.
IEEE DOI 2406
Kernel, Convolution, Lighting, Visualization, Nonhomogeneous media, Reflection, Histograms, Image enhancement, exposure correction, dynamic convolution BibRef

Cotogni, M.[Marco], Cusano, C.[Claudio],
Select and Enhance: Masked-based image enhancement through tree-search theory and deep reinforcement learning,
PRL(183), 2024, pp. 172-178.
Elsevier DOI 2406
Image enhancement, Tree-search, Deep reinforcement learning, Targeted enhancement, Image processing BibRef

Khormaeipour, S.[Sepideh], Shakeri, F.[Fatemeh],
A modified hue and range preserving color assignment function with a component-wise saturation adjustment for color image enhancement,
SP:IC(128), 2024, pp. 117174.
Elsevier DOI 2409
Image enhancement, Histogram equalization, Hue preserving, Gamut problem, Convex combination BibRef

Rehman, S.A.[Sabeeh Abdul], Jeffrey, Z.[Zoe], Sun, Y.C.[Yi-Chuang], Simpson, O.[Oluyomi],
Image Enhancement using Modified Laplacian Filter, Clahe and Adaptive Thresholding,
ISCV24(1-7)
IEEE DOI 2408
Image segmentation, Laplace equations, Image recognition, Noise, Adaptive filters, Lighting, Object recognition, Image segmentation, and image recognition BibRef

Zhou, Y.J.[Yi-Jie], Li, C.[Chao], Liang, J.[Jin], Xu, T.Y.[Tian-Yi], Liu, X.[Xin], Xu, J.[Jun],
4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters,
WACV24(1576-1586)
IEEE DOI Code:
WWW Link. 2404
Convolutional codes, Laplace equations, Lighting, Graphics processing units, Computer architecture, image and video synthesis 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