4.11.5 Color Constancy, Retinex

Chapter Contents (Back)
Human Vision. Lightness. Color Constancy. Retinex. See also Reflectance Computations, Albedo. See also Shape from Specularities, Specularity Analysis.

Kubelka, P., Munk, F.,
Ein Beitrag zur Optik der Farbanstriche,
Z. Techn. Phusik(12), 1931, pp. 593. How light scatters in layers of a solid. BibRef 3100

Helson, H.,
Some Factors and Implications of Color Constancy,
JOSA(24), 1934, pp. 555-567. BibRef 3400

Kubelka, P.,
New Contribution to the Optics of Intensely Light-Scattering Materials: Part I,
JOSA(38), No. 5, 1948, pp. 448-457. How light scatters in layers of a solid. BibRef 4800

Müller, P.F.,
Color Image Retrieval from Monochrome Transparencies,
AppOpt(8), No. 10, October 1969, pp. 2051. BibRef 6910

Land, E.H.,
Color Vision and the Natural Image,
NAS(45), 1959, pp. 115-129; and 1959, pp. 636-644; BibRef 5900
And: NAS(80), 1983, pp. 5163-5169. BibRef

Land, E.H.[Edwin H.],
Experiments in Color Vision,
SciAmer(200), 1959, pp. 84-89. BibRef 5900

Land, E.H.[Edwin H.],
Color Vision and the Natural Image: Part I,
NAS(45), No. 1, January 1959, pp. 115-129. BibRef 5901
And:
Color Vision and the Natural Image: Part II,
NAS(45), No. 4, April 1959, pp. 636-644. BibRef

Land, E.H.,
The Retinex,
AmSci(52), 1964, pp. 247-264. BibRef 6400

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

McCann, J.J., Rizzi, A.,
Veiling glare: the dynamic range limit of HDR images,
SPIE(6492), no. 649213, 2007.
DOI Link 1105
BibRef

McCann, J.J., Rizzi, A.,
Camera and visual veiling glare in HDR images,
Inf. Display(15), No. 9, 2007, pp. 721-730. 1105
BibRef

Stiehl, W.A., McCann, J.J., Savoy, R.L.,
Influence of intraocular scattered light on lightness-scaling experiments,
JOSA(73), 1983, pp. 1143-1148. 1105
BibRef

Rizzi, A., McCann, J.J.,
Glare-limited appearances in HDR images,
Inf. Display(17), No. 1, 2009, pp. 3-12. 1105
BibRef

McCann, J.J., Rizzi, A.,
Retinal HDR images: intraocular glare and object size,
Inf. Display(17), No. 11, 2009, pp. 913-920. 1105
BibRef

McCann, J.J.,
Art, science, and appearance in HDR images,
Inf. Display(15), No. 9, 2007, pp. 709-719. 1105
BibRef

Parraman, C.E., McCann, J.J., Rizzi, A.,
Artist's colour rendering of HDR scenes in 3-D Mondrian colour-constancy experiments,
SPIE(7528), 2010, pp. 75281.
DOI Link 1105
BibRef

McCann, J.J., Parraman, C.E., Rizzi, A.,
Pixel and spatial mechanisms of color constancy,
SPIE(75282010, pp. 75282.
DOI Link 1105
BibRef

McCann, J.J.,
Do humans discount the illuminant?,
SPIE(5666), 2005, pp. 9-16.
DOI Link 1105
BibRef

McCann, J.J.[John J.],
Human spatial processing accounts for dynamic range and color,
SPIE(Newsroom), May 10, 2011
DOI Link 1105
The discernible improvement in high-dynamic-range digital imaging is due to greater detail in the rendered image, rather than accurate scene reproduction. BibRef

Horn, B.K.P.[Berthold K.P.],
Determining Lightness from an Image,
CGIP(3), No. 4, December 1974, pp. 277-299.
WWW Link. BibRef 7412
Earlier:
On Lightness,
MIT AI Memo-295, October 1973. See also Understanding Image Intensities. BibRef

Blake, A.,
Boundary Conditions for Lightness Computation in Mondrian World,
CVGIP(32), No. 3, December 1985, pp. 314-327.
WWW Link. BibRef 8512

Brainard, D.H., Wandell, B.A.,
Analysis of the Retinex Theory of Color Vision,
JOSA-A(3), 1986, pp. 1651-1661. BibRef 8600

Brelstaff, G., Blake, A.,
Computing Lightness,
PRL(5), 1987, pp. 129-138. BibRef 8700

Novak, C.L., and Shafer, S.A.,
Supervised Color Constancy Using a Color Chart,
CMU-CS-TR-90-140, CMU CS Dept., June 1990. Matching colors under different illuminations. BibRef 9006

Skrzypek, J.,
Lightness Constancy: Connectionist Architecture for Controlling Sensitivity,
SMC(20), 1990, pp. 957-968. BibRef 9000

Arend, L., Reeves, A.,
Simultaneous Colour Constancy,
JOSA-A(3), 1986, pp. 1743-1751. BibRef 8600

Wandell, B.A.,
The Synthesis and Analysis of Color Images,
PAMI(9), No. 1, January 1987, pp. 2-13. BibRef 8701

Wandell, B.A.[Brian A.],
Color Appearance and the Digital Imaging Pipeline,
ICPR00(Vol I: 183-190).
IEEE DOI 0009
Plenery talk. Overview. BibRef

Maloney, L.T., and Wandell, B.A.,
Color Constancy: A Method for Recovering Surface Spectral Reflectance,
JOSA-A(3), 1986, pp. 29-33. Reprinted in BibRef 8600 RCV87(293-297). Estimate reflectance without a known ambient light source. Also given as: A Computational Model for Color Constancy. ?? BibRef

Wandell, B.A., El Gamal, A., Girod, B.,
Common principles of image acquisition systems and biological vision,
PIEEE(90), No. 1, January 2002, pp. 5-17.
IEEE DOI 0201
BibRef

Xu, J.J.[Jia-Jing], Farrell, J.[Joyce], Matskewich, T.[Tanya], Wandell, B.A.[Brian A.],
Prediction of preferred ClearType filters using the S-CIELAB metric,
ICIP08(361-364).
IEEE DOI 0810
BibRef

Parmar, M.[Manu], Lansel, S.[Steven], Wandell, B.A.[Brian A.],
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery,
ICIP08(473-476).
IEEE DOI 0810
BibRef

Maloney, L.T.,
Evaluation of Linear Models of Surface Spectral Reflectance with Small Numbers of Parameters,
JOSA-A(3), No. 10, October 1986, pp. 1673-1683. BibRef 8610

Maloney, L.T.,
Computational Approaches to Color Vision,
Ph.D.1984, Stanford University. BibRef 8400

Marimont, D.H., Wandell, B.A.,
Linear Models of Surface and Illuminant Spectra,
JOSA-A(9), 1992, pp. 1905-1913. BibRef 9200

d'Zmura, M., and Lennie, P.,
Mechanisms of Color Constancy,
JOSA-A(3), 1986, pp. 1662-1672. BibRef 8600

d'Zmura, M., and Iverson, G.,
Color Constancy. I. Basic Theory of Two Stage Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(10), 1993, pp. 2148-2165. BibRef 9300

d'Zmura, M., and Iverson, G.,
Color Constancy. II. Results for Two-Stage Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(10), 1993, pp. 2166. BibRef 9300

d'Zmura, M., and Iverson, G.,
Color Constancy. III. General Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(11), 1994, pp. 2389-2400. BibRef 9400

Sato, Y., and Ikeuchi, K.,
Temporal-Color Space Analysis of Reflection,
JOSA-A(11), No. 11, November 1994, pp. 2990-3002. BibRef 9411
Earlier: CVPR93(570-576).
IEEE DOI BibRef
And: CMU-CS-TR-92-207, November 1992, CMU CS Dept.
PS File. Temporal-color space (4-D images). Register range and color image. BibRef

Kawakami, R.[Rei], Takamatsu, J.[Jun], Ikeuchi, K.[Katsushi],
Color constancy from blackbody illumination,
JOSA-A(24), No. 7, July 2007, pp. 1886-1893.
WWW Link. 0801
See also Color estimation from a single surface color. BibRef

Sinha, P., Adelson, E.H.,
Verifying the 'Consistency' of Shading Patterns and 3-D Structures,
WQV93(71-80). BibRef 9300

Sinha, P., and Adelson, E.H.,
Recovering Reflectance and Illumination in a World of Painted Polyhedra,
ICCV93(156-163).
IEEE DOI Addresses changes in both reflectance and orientation and colors. BibRef 9300

Forsyth, D.A.,
A Novel Algorithm for Color Constancy,
IJCV(5), No. 1, August 1990, pp. 5-36.
Springer DOI BibRef 9008
And:
A Novel Approach to Colour Constancy,
ICCV88(9-18).
IEEE DOI CRULE. Described elsewhere as one of the most successful. A theory that reproduces Land's two color experiments. (Or Algorithm in the title rather than Approach). BibRef

Skrzypek, J., Gungner, D.,
Lightness Constancy from Luminance Contrast,
PRAI(6), 1992, pp. 236. BibRef 9200

Hurlbert, A.C., and Poggio, T.A.,
Synthesizing a Color Algorithm from Examples,
Science(239), January 29, 1988, pp. 482-485. BibRef 8801
And:
Learning a Color Algorithm from Examples,
MIT AI Memo-909, June 1987.
WWW Link. BibRef

Hurlbert, A.C.[Anya C.],
The Computation of Color,
MIT AI-TR-1154, September 1989.
WWW Link. BibRef 8909

Kuriki, I., Uchikawa, K.,
Limitations of Surface-Color and Apparent-Color Constancy,
JOSA-A(13), No. 8, August 1996, pp. 1622-1636. 9608
BibRef

du Buf, J.M.H.,
Brightness Versus Apparent Contrast 1: Incremental and Decremental Disks With Varying Diameter,
SV(6), No. 3, 1992, pp. 159-182. BibRef 9200

du Buf, J.M.H.,
Brightness Versus Apparent Contrast 2: Large-Field Asymmetry,
SV(6), No. 4, 1992, pp. 243-263. BibRef 9200

du Buf, J.M.H.,
Brightness Versus Apparent Contrast 3: Blurred Disks and Concentric Cosine Gratings,
SV(6), No. 4, 1992, pp. 265-284. BibRef 9200

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

Rahman, Z.U.[Zia-Ur], 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

Freeman, W.T.[William T.], Brainard, D.H.[David H.],
Bayesian Color Constancy,
JOSA-A(14), No. 7, July 1997, pp. 1393-1411. 9708
BibRef

Freeman, W.T.[William T.], Brainard, D.H.[David H.],
Bayesian Decision Theory, the Maximum Local Mass Estimate,
ICCV95(210-217).
IEEE DOI BibRef 9500

Brainard, D.H., Brunt, W.A., Speigle, J.M.,
Color Constancy in the Nearly Natural Image: I: Asymmetric Matches,
JOSA-A(14), No. 9, September 1997, pp. 2091-2110. 9709
BibRef

Brainard, D.H.,
Color Constancy in the Nearly Natural Image: II: Achromatic Loci,
JOSA-A(15), No. 2, February 1998, pp. 307-325. 9802
BibRef

Allred, S.R.[Sarah R.], Brainard, D.H.[David H.],
Contrast, constancy, and measurements of perceived lightness under parametric manipulation of surface slant and surface reflectance,
JOSA-A(26), No. 4, April 2009, pp. 949-961.
WWW Link. 0903
BibRef

Blohm, W.,
Lightness Determination at Curved Surfaces with Applications to Dynamic-Range Compression and Model-Based Coding of Facial Images,
IP(6), No. 8, August 1997, pp. 1129-1138.
IEEE DOI 9708
BibRef

Boldrin, E., Schettini, R.,
Faithful cross-media color matching using neural networks,
PR(32), No. 3, March 1999, pp. 465-476.
WWW Link. BibRef 9903
Earlier:
Cross-media color matching using neural networks,
CIAP97(I: 335-342).
Springer DOI 9709
BibRef

Baeuml, K.H.[Karl-Heinz],
Color constancy: the role of image surfaces in illuminant adjustment,
JOSA-A(16), No. 7, July 1999, pp. 1521-1530. BibRef 9907

Sapiro, G.[Guillermo],
Color and Illuminant Voting,
PAMI(21), No. 11, November 1999, pp. 1210-1215.
IEEE DOI 9912
BibRef
Earlier:
Bilinear Voting,
ICCV98(178-183).
IEEE DOI i.e. Color and Illuminant Color constancy and illuminant estimation. Based on Hough ideas. BibRef

Gilcrist, A., Kossyfidis, C., Bonato, F., Agostini, T., Li, X., Spehar, B., Annan, V., Economou, E.,
An Anchoring Theory of Lightness Perception,
PsychR(106), No. 4, 1999, pp. 795-834. BibRef 9900

Nascimento, S.M.C.[Sérgio M. C.], Foster, D.H.[David H.],
Relational color constancy in achromatic and isoluminant images,
JOSA-A(17), No. 2, February 2000, pp. 225-231. 0002
BibRef

Nascimento, S.M.C.[Sérgio M. C.], Masuda, O.[Osamu],
Psychophysical optimization of lighting spectra for naturalness, preference, and chromatic diversity,
JOSA-A(29), No. 2, February 2012, pp. A144-A152.
WWW Link. 1202
BibRef

Nieves, J.L.[Juan Luis], Nascimento, S.M.C.[Sérgio M. C.], Romero, J.[Javier],
Contrast edge colors under different natural illuminations,
JOSA-A(29), No. 2, February 2012, pp. A240-A246.
WWW Link. 1202
BibRef

Marini, D.[Daniele], Rizzi, A.[Alessandro],
A computational approach to color adaptation effects,
IVC(18), No. 13, October 2000, pp. 1005-1014.
WWW Link. 0008
BibRef
Earlier:
A computational approach to color illusions,
CIAP97(I: 62-69).
Springer DOI 9709
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

Abdellatif, M.[Mohamed], Tanaka, Y.[Yutaka], Gofuku, A.[Akio], Nagai, I.[Isaku],
Color Constancy Using the Inter-Reflection from a Reference Nose,
IJCV(39), No. 3, September-October 2000, pp. 171-194.
DOI Link 0101
BibRef

Geusebroek, J.M., van den Boomgaard, R., Smeulders, A.W.M., Geerts, H.,
Color Invariance,
PAMI(23), No. 12, December 2001, pp. 1338-1350.
IEEE DOI 0112
Measure object reflectance under different imaging conditions. BibRef

Geusebroek, J.M.[Jan-Mark], van den Boomgaard, R.[Rein], Smeulders, A.W.M.[Arnold W. M.], Gevers, T.[Theo],
Color constancy from physical principles,
PRL(24), No. 11, July 2003, pp. 1653-1662.
WWW Link. 0304
BibRef

van de Weijer, J.[Joost], Gevers, T.[Theo], Gijsenij, A.[Arjan],
Edge-Based Color Constancy,
IP(16), No. 9, September 2007, pp. 2207-2214.
IEEE DOI 0709
BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Weijer, J.[Joost],
Improving Color Constancy by Photometric Edge Weighting,
PAMI(34), No. 5, May 2012, pp. 918-929.
IEEE DOI 1204
Use image derivatives to estimate illumination. Different edge types (material, shadow, highlight) have different effects. BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], Lucassen, M.P.[Marcel P.],
Perceptual analysis of distance measures for color constancy algorithms,
JOSA-A(26), No. 10, October 2009, pp. 2243-2256.
WWW Link. 0910
BibRef
Earlier:
A Perceptual Comparison of Distance Measures for Color Constancy Algorithms,
ECCV08(I: 208-221).
Springer DOI 0810
BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Weijer, J.[Joost],
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy,
IJCV(86), No. 2-3, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo],
Color Constancy Using Natural Image Statistics and Scene Semantics,
PAMI(33), No. 4, April 2011, pp. 687-698.
IEEE DOI 1103
BibRef
Earlier:
Color Constancy using Natural Image Statistics,
CVPR07(1-8).
IEEE DOI 0706
BibRef
And:
Color Constancy using Image Regions,
ICIP07(III: 501-504).
IEEE DOI 0709
Attempt to generalize to select best method based on statistics of image. BibRef

Elfiky, N., Gevers, T., Gijsenij, A., Gonzalez, J.,
Color Constancy Using 3D Scene Geometry Derived From a Single Image,
IP(23), No. 9, September 2014, pp. 3855-3868.
IEEE DOI 1410
computational geometry BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Weijer, J.[Joost],
Computational Color Constancy: Survey and Experiments,
IP(20), No. 9, September 2011, pp. 2475-2489.
IEEE DOI 1109
Survey, Color Constancy. BibRef

Gijsenij, A.[Arjan], Lu, R., Gevers, T.[Theo],
Color Constancy for Multiple Light Sources,
IP(21), No. 2, February 2012, pp. 697-707.
IEEE DOI 1201
BibRef

Geusebroek, J.M., van den Boomgaard, R.[Rein], Smeulders, A.W.M., Dev, A.,
Color and Scale: The Spatial Structure of Color Images,
ECCV00(I: 331-341).
Springer DOI 0003
BibRef

Geusebroek, J.M.[Jan-Mark], Dev, A.[Anuj], van den Boomgaard, R.[Rein], Smeulders, A.W.M.[Arnold W.M.], Cornelissen, F.[Frans], Geerts, H.[Hugo],
Color Invariant Determination of Material Changes in Reflection and Transmission of Light,
ScaleSpace99(459-464). BibRef 9900

Geusebroek, J.M.[Jan-Mark], Smeulders, A.W.M.[Arnold W.M.],
Measurement of Color Invariants,
CVPR00(I: 50-57).
IEEE DOI 0005
BibRef

Geusebroek, J.M., Koelma, D., Smeulders, A.W.M., Gevers, T.,
Image retrieval and segmentation based on color invariants,
CVPR00(II: 784-785).
IEEE DOI 0403
BibRef

Geusebroek, J.M.,
Compact Object Descriptors from Local Colour Invariant Histograms,
BMVC06(III:1029).
PDF File. 0609
BibRef

Wanderley, J.F.C., Fisher, M.H.,
Multiscale color invariants based on the human visual system,
IP(10), No. 11, November 2001, pp. 1630-1638.
IEEE DOI 0201
See also Spatial-Feature Parametric Clustering Applied to Motion-Based Segmentation in Camouflage. BibRef

Wanderley, J.F.C., Fisher, M.H.,
Multiscale Color and Texture Invariants for Image Recognition,
ICIP01(I: 862-865).
IEEE DOI 0108
BibRef

Pei, S.C.[Soo-Chang], Tseng, C.L.[Ching-Long], Wu, C.C.[Chai-Che],
Using color histogram normalization for recovering chromatic illumination-changed images,
JOSA-A(18), No. 11, November 2001, pp. 2641-2658.
WWW Link. 0201
BibRef

Spitzer, H.[Hedva], Semo, S.[Sarit],
Color constancy: a biological model and its application for still and video images,
PR(35), No. 8, August 2002, pp. 1645-1659.
WWW Link. 0206
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

Perez, P., Gangnet, M., Blake, A.,
Poisson Image Editing,
SigGraph03(313-318).
WWW Link. BibRef 0300

Elad, M., Kimmel, R., Shaked, D., Keshet, R.,
Reduced complexity Retinex algorithm via the variational approach,
JVCIR(14), No. 4, December 2003, pp. 369-388.
WWW Link. 0401
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

van Trigt, C.,
Illuminant-Dependence of Von Kries Type Quotients,
IJCV(61), No. 1, January 2005, pp. 5-30.
DOI Link 0410
Von Kries: the cone signal of a reflectance under some illuminant divided by the same cone signal of the illuminant. BibRef

van Trigt, C.,
Linear models in color constancy theory,
JOSA-A(24), No. 9, September 2007, pp. 2684-2691.
WWW Link. 0801
BibRef

Hardy, J.L.[Joseph L.], Delahunt, P.B.[Peter B.], Okajima, K.[Katsunori], Werner, J.S.[John S.],
Senescence of spatial chromatic contrast sensitivity. I. Detection under conditions controlling for optical factors,
JOSA-A(22), No. 1, January 2005, pp. 49-59.
WWW Link. 0501
BibRef

Delahunt, P.B.[Peter B.], Hardy, J.L.[Joseph L.], Okajima, K.[Katsunori], Werner, J.S.[John S.],
Senescence of spatial chromatic contrast sensitivity. II. Matching under natural viewing conditions,
JOSA-A(22), No. 1, January 2005, pp. 60-67.
WWW Link. 0501
BibRef

van de Weijer, J.[Joost], Gevers, T.[Theo], Bagdanov, A.D.[Andrew D.],
Boosting Color Saliency in Image Feature Detection,
PAMI(28), No. 1, January 2006, pp. 150-156.
IEEE DOI 0512
Incorporate color in the saliency computations. BibRef

Amato, A., Mozerov, M.G., Bagdanov, A.D.[Andrew D.], Gonzalez, J.,
Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection,
IP(20), No. 10, October 2011, pp. 2954-2966.
IEEE DOI 1110
BibRef

van de Weijer, J., Gevers, T.,
Boosting Saliency in Color Image Features,
CVPR05(I: 365-372).
IEEE DOI 0507
BibRef

Gevers, T., Smeulders, A.W.M.,
Color Constant Ratio Gradients for Image Segmentation and Similarity of Textured Objects,
CVPR01(I:18-25).
IEEE DOI 0110
BibRef

Gevers, T., Stokman, H.M.G., van de Weijer, J.,
Colour Constancy from Hyper-Spectral Data,
BMVC00(xx-yy).
PDF File. 0009
Color Constancy. BibRef

Ebner, M.[Marc],
Evolving color constancy,
PRL(27), No. 11, August 2006, pp. 1220-1229.
WWW Link. 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

Gooch, A.A., Olsen, S.C., Tumblin, J., and Gooch, B.,
Color2Gray: salience-preserving color removal,
ToG(24), No. 3, 2005, pp. 634-639. BibRef 0500

Stokman, H.M.G.[Harro M.G.], and Gevers, T.[Theo],
Selection and Fusion of Color Models for Image Feature Detection,
PAMI(29), No. 3, March 2007, pp. 371-381.
IEEE DOI 0702
BibRef
Earlier:
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SIViP(9), No. 8, November 2015, pp. 1889-1896.
WWW Link. 1511
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Simao, J.[Josemar], Schneebeli, H.J.A.[Hans Jorg Andreas], Vassallo, R.F.[Raquel Frizera],
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JOSA-A(32), No. 11, November 2015, pp. 2033-2043.
DOI Link 1512
Image processing BibRef

Zhang, X.S.[Xian-Shi], Gao, S.B.[Shao-Bing], Li, R.X.[Ruo-Xuan], Du, X.Y.[Xin-Yu], Li, C.Y.[Chao-Yi], Li, Y.J.[Yong-Jie],
A Retinal Mechanism Inspired Color Constancy Model,
IP(25), No. 3, March 2016, pp. 1219-1232.
IEEE DOI 1602
cellular biophysics BibRef

Morimoto, T.[Takuma], Fukuda, K.[Kazuho], Uchikawa, K.[Keiji],
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JOSA-A(33), No. 3, March 2016, pp. A214-A227.
DOI Link 1603
Color; Color vision BibRef

Ma, R.[Ruiqing], Kawamoto, K.I.[Ken-Ichiro], Shinomori, K.[Keizo],
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JOSA-A(33), No. 3, March 2016, pp. A283-A299.
DOI Link 1603
Vision, color, and visual optics BibRef

Lee, R.J.[Robert J.], Smithson, H.E.[Hannah E.],
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JOSA-A(33), No. 3, March 2016, pp. A306-A318.
DOI Link 1603
Machine vision BibRef

Zhao, B.[Bin], Xing, E.P.[Eric P.],
Sparse Output Coding for Scalable Visual Recognition,
IJCV(119), No. 1, August 2016, pp. 60-75.
Springer DOI 1608
BibRef
Earlier:
Sparse Output Coding for Large-Scale Visual Recognition,
CVPR13(3350-3357)
IEEE DOI 1309
BibRef

Oh, S.W.[Seoung Wug], Kim, S.J.[Seon Joo],
Approaching the computational color constancy as a classification problem through deep learning,
PR(61), No. 1, 2017, pp. 405-416.
Elsevier DOI 1705
Computational color constancy 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, path-based image aware sampling scheme, path-based scanning, pixel channel intensities, predecessor termite retinex, random path set, spatial search, Computational complexity, Computational modeling, Estimation, Image color analysis, Image edge detection, Two dimensional displays, Visualization, Path-based Retinex model, image enhancement, spatial, color, correction BibRef


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ICPR16(1899-1904)
IEEE DOI 1705
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Lecca, M.[Michela],
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CCIW17(26-39).
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CCIW17(55-67).
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Lecca, M.[Michela], Modena, C.M.[Carla M.], Rizzi, A.[Alessandro],
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Springer DOI 1704
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ICIP16(3997-4001)
IEEE DOI 1610
Computer architecture BibRef

Cubillas, J.E., Japitana, M.,
The Application Of Support Vector Machine (SVM) Using CIELab Color Model, Color Intensity And Color Constancy As Features For Ortho Image Classification Of Benthic Habitats In Hinatuan, Surigao Del Sur, Philippines,
ISPRS16(B7: 189-194).
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Computer Vision Color Constancy from Maximal Projections Mean Assumption,
ICISP16(148-156).
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Lou, Z.Y.[Zhong-Yu], Gevers, T.[Theo], Hu, N.H.[Ning-Hang], Lucassen, M.P.[Marcel P.],
Color Constancy by Deep Learning,
BMVC15(xx-yy).
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DeepLearn15(81-89)
IEEE DOI 1510
Estimation 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)
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Retinex;center/surround BibRef

Prinet, V.[Veronique], Lischinski, D.[Dani], Werman, M.[Michael],
Illuminant Chromaticity from Image Sequences,
ICCV13(3320-3327)
IEEE DOI 1403
Color constancy; Image processing; Low-level vision; White balance BibRef

Ying, X.H.[Xiang-Hua], Hou, L.[Lulu], Hou, Y.B.[Yong-Bo], Kong, J.[Jing], Zha, H.B.[Hong-Bin],
Canonicalized central absolute moment for edge-based color constancy,
ICIP13(2260-2263)
IEEE DOI 1402
Color constancy; Grey-Edge; higherorder image derivatives; moment BibRef

Li, B.[Bing], Xiong, W.H.[Wei-Hua], Hu, W.M.[Wei-Ming], Peng, H.[Houwen],
Illumination Estimation Based on Bilayer Sparse Coding,
CVPR13(1423-1429)
IEEE DOI 1309
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ICSIPR13(145-150).
IEEE DOI 1304
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CCIW13(311-323).
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IEEE DOI 1201
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ICPR10(1722-1726).
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ICIP09(1637-1640).
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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 .


Last update:May 17, 2017 at 14:04:35