Land, E.H.,
The Retinex,
AmSci(52), 1964, pp. 247-264.
BibRef
6400
Land, E.H.,
An alternative technique for the computation of the
designator in the retinex theory of color vision,
NAS(83), No. 10, 1986, pp. 3078-3080.
DOI Link
See also Center/Surround Retinex: Analysis and Implementation.
BibRef
8600
Land, E.H., and
McCann, J.J.,
Lightness and Retinex Theory,
JOSA(61), No. 1, 1971, pp. 1-11.
Retinex. The original color constancy paper.
A less technical version appeared in Scientific American about 1978.
BibRef
7100
Land, E.H.,
The Retinex Theory of Color Vision,
SciAmer(237), 1977, pp. 108-129.
BibRef
7700
McCann, J.J.,
McKee, S.P.,
Taylor, T.H.,
Quantitative Studies in Retinex Theory,
Vision Research(16), 1976, pp. 445-458.
BibRef
7600
Funt, B.V.,
Ciurea, F.,
McCann, J.J.,
Retinex in Matlab,
JEI(13), No. 1, January 2004, pp. 48-57.
HTML Version.
Code, Retinex.
Code, Retinex, Matlab.
WWW Link.
BibRef
0401
Brainard, D.H.,
Wandell, B.A.,
Analysis of the Retinex Theory of Color Vision,
JOSA-A(3), 1986, pp. 1651-1661.
BibRef
8600
Jobson, D.J.,
Rahman, Z.U.,
Woodell, G.A.,
A Multiscale Retinex for Bridging the Gap Between Color Images
and the Human Observation of Scenes,
IP(6), No. 7, July 1997, pp. 965-976.
IEEE DOI
9707
BibRef
Ur Rahman, Z.[Zia],
Jobson, D.J.[Daniel J.],
Woodell, G.A.[Glenn A.],
Investigating the relationship between image enhancement and image
compression in the context of the multi-scale retinex,
JVCIR(22), No. 3, April 2011, pp. 237-250.
Elsevier DOI
1103
BibRef
Earlier:
Multi-Scale Retinex for Color Image Enhancement,
ICIP96(III: 1003-1006).
IEEE DOI Image enhancement, Inverting image transforms, Compression;
Multi-scale retinex, End-to-end systems analysis, Image retrieval;
Visual communications channel design, Survey of image compression
usage in space imaging
BibRef
Provenzi, E.[Edoardo],
de Carli, L.[Luca],
Rizzi, A.[Alessandro],
Marini, D.[Daniele],
Mathematical definition and analysis of the Retinex algorithm,
JOSA-A(22), No. 12, December 2005, pp. 2613-2621.
WWW Link.
0601
BibRef
Provenzi, E.[Edoardo],
Fierro, M.,
Rizzi, A.[Alessandro],
de Carli, L.[Luca],
Gadia, D.,
Marini, D.[Daniele],
Random Spray Retinex: A New Retinex Implementation to Investigate the
Local Properties of the Model,
IP(16), No. 1, January 2007, pp. 162-171.
IEEE DOI
0701
BibRef
Provenzi, E.[Edoardo],
Gatta, C.[Carlo],
Fierro, M.[Massimo],
Rizzi, A.[Alessandro],
A Spatially Variant White-Patch and Gray-World Method for Color Image
Enhancement Driven by Local Contrast,
PAMI(30), No. 10, October 2008, pp. 1757-1770.
IEEE DOI
0810
Combine 2 variations on color constance/retinex:
White Patch (WP): Random Spray Retinex and Gray-World (GW): ACE
for color correction.
BibRef
Bertalmío, M.[Marcelo],
Caselles, V.[Vicent],
Provenzi, E.[Edoardo],
Issues About Retinex Theory and Contrast Enhancement,
IJCV(83), No. 1, June 2009, pp. xx-yy.
Springer DOI
0903
Model relies on the computation of the expectation value of a suitable
random variable weighted with a kernel function. Consistent with
Land formulation.
BibRef
Kimmel, R.[Ron],
Elad, M.[Michael],
Shaked, D.[Doron],
Keshet, R.[Renato],
Sobel, I.[Irwin],
A Variational Framework for Retinex,
IJCV(52), No. 1, April 2003, pp. 7-23.
DOI Link
0301
BibRef
Elad, M.[Michael],
Kimmel, R.[Ron],
Shaked, D.[Doron],
Keshet, R.[Renato],
Reduced complexity Retinex algorithm via the variational approach,
JVCIR(14), No. 4, December 2003, pp. 369-388.
Elsevier DOI
0401
efficient implementation of
See also Variational Framework for Retinex, A.
BibRef
Herscovitz, M.[Marius],
Yadid-Pecht, O.[Orly],
A modified Multi Scale Retinex algorithm with an improved global
impression of brightness for wide dynamic range pictures,
MVA(15), No. 4, October 2004, pp. 220-228.
Springer DOI
0410
BibRef
Ebner, M.[Marc],
Evolving color constancy,
PRL(27), No. 11, August 2006, pp. 1220-1229.
Elsevier DOI
0606
BibRef
Earlier:
Color Constancy Using Local Color Shifts,
ECCV04(Vol III: 276-287).
Springer DOI
0405
BibRef
Earlier:
Combining White-Patch Retinex and the Gray World Assumption to Achieve
Color Constancy for Multiple Illuminants,
DAGM03(60-67).
Springer DOI
0310
Genetic programming, Local space average color
BibRef
Ebner, M.[Marc],
Color constancy based on local space average color,
MVA(20), No. 5, July 2009, pp. xx-yy.
Springer DOI
0906
BibRef
Earlier:
How Does the Brain Arrive at a Color Constant Descriptor?,
BVAI07(84-93).
Springer DOI
0710
BibRef
Cheung, H.K.[Hoi-Kok],
Siu, W.C.[Wan-Chi],
Feng, D.D.[David Dagan],
Wang, Z.Y.[Zhi-Yong],
An efficient retinex-like brightness normalization method for coding
camera flashes and strong brightness variation in videos,
SP:IC(25), No. 3, March 2010, pp. 143-162.
Elsevier DOI
1003
BibRef
Earlier:
Windowing technique for the DCT based retinex algorithm to handle
videos with brightness variations coded using the H.264,
ICIP08(2860-2863).
IEEE DOI
0810
Video coding, Motion estimation, Brightness variation, Retinex image
BibRef
Chen, S.H.[Shao-Hua],
Beghdadi, A.[Azeddine],
Natural Enhancement of Color Image,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link
1003
BibRef
Earlier:
Natural Rendering of Color Image based on Retinex,
ICIP09(1813-1816).
IEEE DOI
0911
BibRef
Morel, J.M.[Jean-Michel],
Petro, A.B.[Ana Belén],
Sbert, C.[Catalina],
A PDE Formalization of Retinex Theory,
IP(19), No. 11, November 2010, pp. 2825-2837.
IEEE DOI
1011
BibRef
Petro, A.B.[Ana Belén],
Sbert, C.[Catalina],
Morel, J.M.[Jean-Michel],
Multiscale Retinex,
IPOL(2014), No. 1, 2014, pp. 71-88.
DOI Link
1405
Code, Retinex.
BibRef
Limare, N.[Nicolas],
Petro, A.B.[Ana Belén],
Sbert, C.[Catalina],
Morel, J.M.[Jean-Michel],
Retinex Poisson Equation: a Model for Color Perception,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link
1202
Code, Retinex.
BibRef
Morel, J.M.[Jean-Michel],
Petro, A.B.[Ana-Belen],
Sbert, C.[Catalina],
Screened Poisson Equation for Image Contrast Enhancement,
IPOL(2014), No. 2014, pp. 16-29.
DOI Link
1404
Code, Retinex.
See also Poisson Image Editing.
BibRef
Ng, M.K.[Michael K.],
Wang, W.[Wei],
A Total Variation Model For Retinex,
SIIMS(4), No. 1, 2011, pp. 345-365.
DOI Link
1106
Retinex, total variation, energy functional, alternating minimization
BibRef
Zhao, Q.[Qi],
Tan, P.[Ping],
Dai, Q.A.[Qi-Ang],
Shen, L.[Li],
Wu, E.[Enhua],
Lin, S.[Stephen],
A Closed-Form Solution to Retinex with Nonlocal Texture Constraints,
PAMI(34), No. 7, July 2012, pp. 1437-1444.
IEEE DOI
1205
Intrinsic image decomposition based on retinex and texture.
Local gradient and distant pixels using texture.
BibRef
Shukri, d.S.M.[d'Yia Sarah Md],
Asmuni, H.[Hishammuddin],
Othman, R.M.[Razib M.],
Hassan, R.[Rohayanti],
An improved multiscale retinex algorithm for motion-blurred iris images
to minimize the intra-individual variations,
PRL(34), No. 9, July 2013, pp. 1071-1077.
Elsevier DOI
1305
Homomorphic filtering, Motion-blurred iris, Multiscale retinex
BibRef
Banic, N.,
Loncaric, S.,
Light Random Sprays Retinex: Exploiting the Noisy Illumination
Estimation,
SPLetters(20), No. 12, 2013, pp. 1240-1243.
IEEE DOI
1311
Image color analysis
BibRef
Wang, L.Q.[Li-Qian],
Xiao, L.[Liang],
Liu, H.Y.[Hong-Yi],
Wei, Z.H.[Zhi-Hui],
Variational Bayesian Method for Retinex,
IP(23), No. 8, August 2014, pp. 3381-3396.
IEEE DOI
1408
computer vision
BibRef
Wang, Y.K.[Yuan-Kai],
Huang, W.B.[Wen-Bin],
A CUDA-enabled parallel algorithm for accelerating retinex,
RealTimeIP(9), No. 3, September 2014, pp. 407-425.
WWW Link.
1408
BibRef
Gianini, G.[Gabriele],
Manenti, A.[Andrea],
Rizzi, A.[Alessandro],
QBRIX: a quantile-based approach to retinex,
JOSA-A(31), No. 12, December 2014, pp. 2663-2673.
DOI Link
1412
Image processing, Image enhancement
BibRef
Jiang, B.[Bo],
Woodell, G.A.[Glenn A.],
Jobson, D.J.[Daniel J.],
Novel multi-scale retinex with color restoration on graphics processing
unit,
RealTimeIP(10), No. 2, June 2015, pp. 239-253.
WWW Link.
1506
BibRef
Liang, J.W.[Jing-Wei],
Zhang, X.[Xiaoqun],
Retinex by Higher Order Total Variation L1 Decomposition,
JMIV(52), No. 3, July 2015, pp. 345-355.
WWW Link.
1506
BibRef
Zosso, D.[Dominique],
Tran, G.[Giang],
Osher, S.J.[Stanley J.],
Non-Local Retinex: A Unifying Framework and Beyond,
SIIMS(8), No. 2, 2015, pp. 787-826.
DOI Link
1507
BibRef
Lecca, M.[Michela],
Rizzi, A.[Alessandro],
Tuning the locality of filtering with a spatially weighted
implementation of random spray Retinex,
JOSA-A(32), No. 10, October 2015, pp. 1876-1887.
DOI Link
1511
Image processing, Image enhancement
BibRef
Wang, W.[Wei],
He, C.J.[Chuan-Jiang],
A Variational Model with Barrier Functionals for Retinex,
SIIMS(8), No. 3, 2015, pp. 1955-1980.
DOI Link
1511
BibRef
Lecca, M.[Michela],
Rizzi, A.[Alessandro],
Serapioni, R.P.[Raul Paolo],
GREAT: a gradient-based color-sampling scheme for Retinex,
JOSA-A(34), No. 4, April 2017, pp. 513-522.
DOI Link
1704
Image processing, Image enhancement, Color
BibRef
Lecca, M.[Michela],
Rizzi, A.[Alessandro],
Serapioni, R.P.[Raul Paolo],
GRASS: A Gradient-Based Random Sampling Scheme for Milano Retinex,
IP(26), No. 6, June 2017, pp. 2767-2780.
IEEE DOI
1705
computational complexity, image colour analysis, image sampling,
2D sampling, ETR paths, ETR sampling scheme, GRASS scheme,
Milano retinex, computational complexity, digital image,
energy-driven termite retinex, flat image regions,
gradient-based random sampling scheme,
human color sensation estimation,
image aware sampling principle, image pixel salient detection,
image portions, local reference white, local visual properties,
BibRef
Liu, C.J.[Chang-Jiang],
Cheng, I.[Irene],
Zhang, Y.[Yi],
Basu, A.[Anup],
Enhancement of low visibility aerial images using histogram
truncation and an explicit Retinex representation for balancing
contrast and color consistency,
PandRS(128), No. 1, 2017, pp. 16-26.
Elsevier DOI
1706
Multi-scale, Retinex
BibRef
Liu, H.T.[Hao-Ting],
Lu, H.Q.[Han-Qing],
Zhang, Y.[Yu],
Image enhancement for outdoor long-range surveillance using IQ-learning
multiscale Retinex,
IET-IPR(11), No. 9, September 2017, pp. 786-795.
DOI Link
1709
BibRef
Zhang, R.[Rui],
Feng, X.C.[Xiang-Chu],
Yang, L.X.[Li-Xia],
Chang, L.H.[Li-Hong],
Xu, C.[Chen],
Global sparse gradient guided variational Retinex model for image
enhancement,
SP:IC(58), No. 1, 2017, pp. 270-281.
Elsevier DOI
1710
Global sparse gradient
BibRef
Pu, Y.F.,
Siarry, P.,
Chatterjee, A.,
Wang, Z.N.,
Yi, Z.,
Liu, Y.G.,
Zhou, J.L.,
Wang, Y.,
A Fractional-Order Variational Framework for Retinex:
Fractional-Order Partial Differential Equation-Based Formulation for
Multi-Scale Nonlocal Contrast Enhancement with Texture Preserving,
IP(27), No. 3, March 2018, pp. 1214-1229.
IEEE DOI
1801
Fractional calculus, Histograms, Image color analysis,
Image edge detection, Medical services,
fractional-order steepest descent method
BibRef
Gao, Y.,
Hu, H.M.,
Li, B.,
Guo, Q.,
Naturalness Preserved Nonuniform Illumination Estimation for Image
Enhancement Based on Retinex,
MultMed(20), No. 2, February 2018, pp. 335-344.
IEEE DOI
1801
Algorithm design and analysis, Estimation, Filtering algorithms,
Image decomposition, Image edge detection, Lighting, Reflectivity,
non-uniform illumination
BibRef
Lecca, M.[Michela],
Simone, G.[Gabriele],
Bonanomi, C.[Cristian],
Rizzi, A.[Alessandro],
Point-based spatial colour sampling in Milano-Retinex: a survey,
IET-IPR(12), No. 6, June 2018, pp. 833-849.
DOI Link
1805
BibRef
Qiu, T.[Tao],
Wen, C.[Chang],
Xie, K.[Kai],
Wen, F.Q.[Fang-Qing],
Sheng, G.Q.[Guan-Qun],
Tang, X.G.[Xin-Gong],
Efficient medical image enhancement based on CNN-FBB model,
IET-IPR(13), No. 10, 22 August 2019, pp. 1736-1744.
DOI Link
1909
FBB: frequency band broadening.
Retinex model.
BibRef
Lecca, M.[Michela],
Messelodi, S.[Stefano],
SuPeR: Milano Retinex implementation exploiting a regular image grid,
JOSA-A(36), No. 8, August 2019, pp. 1423-1432.
DOI Link
1912
Color spaces, Color vision, Image enhancement, Image processing,
Noise reduction, Nonlinear spatial filtering
BibRef
Gu, Z.,
Li, F.,
Fang, F.,
Zhang, G.,
A Novel Retinex-Based Fractional-Order Variational Model for Images
With Severely Low Light,
IP(29), 2020, pp. 3239-3253.
IEEE DOI
2002
Retinex, low-light image, fractional-order, variational model,
image enhancement, reflectance, illumination
BibRef
Xu, J.[Jun],
Hou, Y.K.[Ying-Kun],
Ren, D.W.[Dong-Wei],
Liu, L.[Li],
Zhu, F.[Fan],
Yu, M.Y.[Meng-Yang],
Wang, H.Q.[Hao-Qian],
Shao, L.[Ling],
STAR: A Structure and Texture Aware Retinex Model,
IP(29), 2020, pp. 5022-5037.
IEEE DOI
2003
Lighting, Image color analysis, Image enhancement,
Image decomposition, Visualization, Fans, Optimization,
color correction
BibRef
Du, X.Y.[Xiao-Yu],
Xia, Y.S.[You-Shen],
Natural Images Enhancement Using Structure Extraction and Retinex,
ACIVS20(408-420).
Springer DOI
2003
BibRef
Tang, M.,
Xie, F.,
Zhang, R.,
Jiang, Z.,
Bovik, A.C.,
A Local Flatness Based Variational Approach to Retinex,
IP(29), 2020, pp. 7217-7232.
IEEE DOI
2007
Lighting, Image color analysis, Computational modeling,
Adaptation models, Visualization, Dispersion, Image reconstruction,
vatiational approach
BibRef
Matin, F.[Farzin],
Jeong, Y.[Yoosoo],
Park, H.[Hanhoon],
Retinex-Based Image Enhancement with Particle Swarm Optimization and
Multi-Objective Function,
IEICE(E103-D), No. 12, December 2020, pp. 2721-2724.
WWW Link.
2012
BibRef
Liu, X.R.[Xin-Ran],
Wang, Z.J.[Zhong-Ju],
Wang, L.[Long],
Huang, C.[Chao],
Luo, X.[Xiong],
A Hybrid Retinex-Based Algorithm for UAV-Taken Image Enhancement,
IEICE(E104-D), No. 11, November 2021, pp. 2024-2027.
WWW Link.
2112
BibRef
Lisani, J.L.[Jose-Luis],
Petro, A.B.[Ana-Belén],
Sbert, C.[Catalina],
Center/Surround Retinex: Analysis and Implementation,
IPOL(11), 2021, pp. 434-450.
DOI Link
2112
Code, Retinex. An implementation of Land model.
See also alternative technique for the computation of the designator in the retinex theory of color vision, An.
BibRef
Jia, F.[Fan],
Wong, H.S.[Hok Shing],
Wang, T.[Tiange],
Zeng, T.Y.[Tie-Yong],
A reflectance re-weighted Retinex model for non-uniform and low-light
image enhancement,
PR(144), 2023, pp. 109823.
Elsevier DOI
2310
Image enhancement, Variational method, Retinex model, Non-uniform enhancement
BibRef
Jia, F.[Fan],
Mao, S.[Shen],
Tai, X.C.[Xue-Cheng],
Zeng, T.Y.[Tie-Yong],
A Variational Model for Nonuniform Low-Light Image Enhancement,
SIIMS(17), No. 1, 2024, pp. 1-30.
DOI Link
2404
BibRef
Huang, S.Y.[Shi-Yu],
Gao, Z.J.[Zi-Jun],
Wang, J.[Jue],
Li, B.[Bo],
DAF-Retinex: Preserve the image detailed features and restore the
reflected image,
IET-IPR(18), No. 9, 2024, pp. 2461-2475.
DOI Link
2407
image enhancement, image processing
BibRef
Lecca, M.[Michela],
Generalized equation for real-world image enhancement by Milano
Retinex family,
JOSA-A(37), No. 5, May 2020, pp. 849-858.
DOI Link
2503
Color vision, Computer simulation, Image enhancement,
Machine vision, Segmentation, Spatial filtering
BibRef
Han, R.[Rui],
Tang, C.[Chen],
Xu, M.[Min],
Li, J.M.[Jian-Ming],
Lei, Z.K.[Zhen-Kun],
Joint enhancement and denoising in electronic speckle pattern
interferometry fringe patterns with low contrast or uneven
illumination via an oriented variational Retinex model,
JOSA-A(39), No. 2, February 2022, pp. 239-249.
DOI Link
2503
Fourier transforms, Fringes, Spatial filtering, Speckle noise,
Speckle patterns, Wavelet transforms
BibRef
Lecca, M.[Michela],
Gianini, G.[Gabriele],
Serapioni, R.P.[Raul Paolo],
Mathematical insights into the original Retinex algorithm for image
enhancement,
JOSA-A(39), No. 11, November 2022, pp. 2063-2072.
DOI Link
2503
Computational imaging, Computer simulation, Deep learning,
Image enhancement, Machine vision, Segmentation
BibRef
Han, R.[Rui],
Tang, C.[Chen],
Xu, M.[Min],
Liang, B.[Bingtao],
Wu, T.[Tianbo],
Lei, Z.K.[Zhen-Kun],
Enhancement method with naturalness preservation and artifact
suppression based on an improved Retinex variational model for color
retinal images,
JOSA-A(40), No. 1, January 2023, pp. 155-164.
DOI Link
2503
Deep learning, Image enhancement, Image metrics,
Imaging techniques, Spatial frequency, Wavelet transforms
BibRef
Ulucan, D.[Diclehan],
Ulucan, O.[Oguzhan],
Ebner, M.[Marc],
Intrinsic Image Decomposition Based on Retinex Theory, Superpixel
Segmentation and Scale-space Computations,
CCIW24(78-89).
Springer DOI
2410
BibRef
Nan, Z.[Zhuo],
Gong, Y.[Yun],
An Image Enhancement Method in Coal Mine Underground Based on Deep
Retinex Network and Fusion Strategy,
ICIVC21(209-214)
IEEE DOI
2112
Reflectivity, Deep learning, Image color analysis, Brightness,
Lighting, Distortion, Visual effects, underground coal mine,
Image enhancement
BibRef
Liu, L.,
Pang, Z.F.,
Duan, Y.,
A novel variational model for retinex in presence of severe noises,
ICIP17(3490-3494)
IEEE DOI
1803
Brain modeling, Data models, Lighting, Mathematical model,
Nonhomogeneous media, Numerical models, TV, ADMM, Retinex, denoising,
intensity inhomogeneity
BibRef
Cai, B.,
Xu, X.,
Guo, K.,
Jia, K.,
Hu, B.,
Tao, D.,
A Joint Intrinsic-Extrinsic Prior Model for Retinex,
ICCV17(4020-4029)
IEEE DOI
1802
Estimation, Image color analysis, Image edge detection, Lighting,
Linear programming, Shape, Smoothing methods
BibRef
Lecca, M.[Michela],
Color Vision Is a Spatial Process: The Retinex Theory,
CCIW17(26-39).
Springer DOI
1704
BibRef
Provenzi, E.[Edoardo],
Similarities and Differences in the Mathematical Formalizations of the
Retinex Model and Its Variants,
CCIW17(55-67).
Springer DOI
1704
BibRef
Lecca, M.[Michela],
Modena, C.M.[Carla M.],
Rizzi, A.[Alessandro],
T-Rex: A Milano Retinex Implementation Based on Intensity Thresholding,
CCIW17(68-79).
Springer DOI
1704
BibRef
Morel, J.M.[Jean-Michel],
Petro, A.B.[Ana Belen],
Sbert, C.[Catalina],
What is the right center/surround for Retinex?,
ICIP14(4552-4556)
IEEE DOI
1502
Retinex;center/surround
BibRef
Setty, S.[Sreenivasa],
Srinath, N.K.,
Hanumantharaju, M.C.,
Development of multiscale retinex algorithm for medical image
enhancement based on multi-rate sampling,
ICSIPR13(145-150).
IEEE DOI
1304
BibRef
Li, B.[Bo],
Wang, S.H.[Shu-Hang],
Geng, Y.B.[Yan-Bing],
Image enhancement based on Retinex and lightness decomposition,
ICIP11(3417-3420).
IEEE DOI
1201
BibRef
Wang, Y.K.[Yuan-Kai],
Huang, W.B.[Wen-Bin],
Acceleration of an improved Retinex algorithm,
ECVW11(72-77).
IEEE DOI
1106
BibRef
Ma, W.[Wenye],
Morel, J.M.[Jean-Michel],
Osher, S.J.[Stanley J.],
Chien, A.[Aichi],
An L1-based variational model for Retinex theory and its application to
medical images,
CVPR11(153-160).
IEEE DOI
1106
BibRef
Kyung, W.J.[Wang-Jun],
Kim, D.C.[Dae-Chul],
Ha, Y.H.[Yeong-Ho],
Real-time multi-scale Retinex to enhance night scene of vehicular
camera,
FCV11(1-4).
IEEE DOI
1102
BibRef
Shen, C.T.[Chih-Tsung],
Hwang, W.L.[Wen-Liang],
Color image enhancement using retinex with robust envelope,
ICIP09(3141-3144).
IEEE DOI
0911
BibRef
Okuno, T.[Takeshi],
Nishitani, T.[Takao],
Efficient multi-scale retinex algorithm using multi-rate image
processing,
ICIP09(3145-3148).
IEEE DOI
0911
BibRef
Lin-yan, C.[Cui],
Bin-dang, X.[Xue],
Xiao-guang, C.[Cao],
An Improved Retinex Image Enhancement Technique for Dim Target
Extraction in Infrared Images,
CISP09(1-5).
IEEE DOI
0910
BibRef
Wu, J.[Jing],
Wang, Z.[Ziwu],
Fang, Z.X.[Zhi-Xia],
Application of Retinex in Color Restoration of Image Enhancement to
Night Image,
CISP09(1-4).
IEEE DOI
0910
BibRef
Cinque, L.[Luigi],
Morrone, G.[Gabriele],
Retinex Combined with Total Variation for Image Illumination
Normalization,
CIAP09(958-964).
Springer DOI
0909
BibRef
Jang, J.H.[Jae Ho],
Choi, B.[Boorym],
Kim, S.D.[Sung Deuk],
Ra, J.B.[Jong Beom],
Sub-Band Decomposed Multiscale Retinex with Space Varying Gain,
ICIP08(3168-3171).
IEEE DOI
0810
See also Contrast-Enhanced Fusion of Multisensor Images Using Subband-Decomposed Multiscale Retinex.
BibRef
Takahashi, H.,
Saito, T.,
Komatsu, T.,
Variational Retinex Algorithm with its Application to a High-Quality
Chroma Key,
ICIP06(977-980).
IEEE DOI
0610
BibRef
Kela, N.[Nikunj],
Rattani, A.[Ajita],
Gupta, P.[Phalguni],
Illumination Invariant Elastic Bunch Graph Matching for Efficient Face
Recognition,
Biometrics06(42).
IEEE DOI
0609
Applies retinex and color constancy.
BibRef
Elad, M.[Michael],
Retinex by Two Bilateral Filters,
ScaleSpace05(217-229).
Springer DOI
0505
BibRef
Wang, H.T.[Hai-Tao],
Li, S.Z.,
Wang, Y.S.[Yang-Sheng],
Generalized quotient image,
CVPR04(II: 498-505).
IEEE DOI
0408
Face Recognition. Unifed framework for face recognition. QI. Spherical Harmonic,
Image Ratio, and Retinex.
BibRef
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Color Constancy, Recognition, Simon Fraser Univ. (Funt and Finlayson) Papers .