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Springer DOI
HTML Version.
BibRef
8806
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Image Segmentation and Reflection Analysis Through Color,
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Using a Color Reflection Model to Separate Highlights from Object Color,
ICCV87(145-150).
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And:
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And:
Color Image Analysis with an Intrinsic Reflection Model,
ICCV88(292-296).
IEEE DOI
Segmentation, Color. Do the color calibration using the highlights, then map the colors
to the real color and easily segment. Continuing
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See also Physical Approach to Color Image Understanding, A.
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Surface Reflection Mechanism,
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Reflectance Based Object Recognition,
IJCV(17), No. 3, March 1996, pp. 219-240.
Springer DOI
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9603
Earlier:
Object Recognition Based on Reflectance and Geometry,
SPIE(2031), 1993, pp. 328-342.
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Nayar, S.K.[Shree K.],
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Computing Reflectance Ratios from an Image,
PR(26), No. 10, October 1993, pp. 1529-1542.
Elsevier DOI
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9310
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Reflectance Ratio: A Photometric Invariant for Object Recognition,
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IEEE DOI
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Reflectance Based Recognition,
DARPA93(867-872).
Recognnition using region values and reflectance invariants.
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Nayar, S.K., and
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Colored Interreflections and Shape Recovery,
DARPA92(333-343).
Reflections cause different colors.
Albedo comes out >1.0 due to reflections.
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Tominaga, S.,
Surface Identification Using the Dichromatic Reflection Model,
PAMI(13), No. 7, July 1991, pp. 658-670.
IEEE DOI
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9107
Earlier:
A color classification method for color images using a uniform color
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ICPR90(I: 803-807).
IEEE DOI
9006
Analysis of reflections from specular and diffuse reflections.
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Modeling Light Reflection for Computer Color Vision,
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IEEE DOI How does it compare to Shafer's work?
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0501
Electrostatic effective permittivity of samples of three-dimensional
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1104
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See also Chromatic contrast discrimination: Data and prediction for stimuli varying in L and M cone excitation.
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Foggia, P.,
Percannella, G.,
Vento, M.,
Removing Object Reflections in Videos by Global Optimization,
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IEEE DOI
1211
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Sáez, A.[Aurora],
Mendoza, C.S.[Carlos S.],
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Development and evaluation of perceptually adapted colour gradients,
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1307
Color space analysis.
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Kong, N.J.[Nae-Jin],
Tai, Y.W.[Yu-Wing],
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A Physically-Based Approach to Reflection Separation:
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IEEE DOI
1402
Input consists of three polarized images, same position, differente polarizer
angle.
BibRef
Wan, R.J.[Ren-Jie],
Shi, B.X.[Bo-Xin],
Duan, L.Y.,
Tan, A.H.,
Gao, W.,
Kot, A.C.[Alex C.],
Region-Aware Reflection Removal With Unified Content and Gradient
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IP(27), No. 6, June 2018, pp. 2927-2941.
IEEE DOI
1804
BibRef
Earlier: A1, A2, A3, A4, A6, Only:
Benchmarking Single-Image Reflection Removal Algorithms,
ICCV17(3942-3950)
IEEE DOI
1802
Cameras, Databases, Glass, Image restoration,
Task analysis, Reflection removal, content prior,
sparse representation.
image processing, quantitative comparison,
quantitative quality comparisons,
Visualization
BibRef
Wan, R.J.[Ren-Jie],
Shi, B.X.[Bo-Xin],
Li, H.L.[Hao-Liang],
Hong, Y.C.[Yu-Chen],
Duan, L.Y.[Ling-Yu],
Kot, A.C.[Alex C.],
Benchmarking Single-Image Reflection Removal Algorithms,
PAMI(45), No. 2, February 2023, pp. 1424-1441.
IEEE DOI
2301
Reflection, Glass, Mathematical models, Cameras, Reflectivity,
Deep learning, Benchmark testing, Reflection removal,
deep learning
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Heydecker, D.,
Maierhofer, G.,
Aviles-Rivero, A.I.[Angelica I.],
Fan, Q.,
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Schönlieb, C.B.[Carola-Bibiane],
Süsstrunk, S.,
Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them
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IP(28), No. 12, December 2019, pp. 6185-6197.
IEEE DOI
1909
Optimization, Image color analysis, Hardware, Laplace equations,
Fans, Visualization, Glass, Reflection suppression,
optical reflection
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Wang, C.[Ce],
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Duan, L.Y.[Ling-Yu],
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SP:IC(78), 2019, pp. 94-102.
Elsevier DOI
1909
Reflection removal, Windshield image, Depth of field, Surveillance
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Tang, C.M.[Chun-Ming],
Sun, R.Y.[Rui-Yu],
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Reflection removal on the windshield during nighttime driving,
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Xu, D.[Dejia],
Wan, R.J.[Ren-Jie],
He, B.[Bin],
Shi, B.X.[Bo-Xin],
Duan, L.Y.[Ling-Yu],
Background Scene Recovery From an Image Looking Through Colored Glass,
MultMed(25), 2023, pp. 2876-2887.
IEEE DOI
2307
Glass, Image color analysis, Degradation, Mathematical models, Color,
Absorption, Propagation losses, Image restoration, colored glass
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Sugimoto, T.,
Fujimori, K.,
Shirai, K.,
Miyao, H.,
Maruyama, M.,
Principal noiseless color component extraction by linear color
composition with optimal coefficients,
ICIP17(3495-3499)
IEEE DOI
1803
Colored noise, Covariance matrices, Image color analysis,
Minimization, Noise measurement, Principal component analysis, TV,
total variation
BibRef
Nandoriya, A.,
Elgharib, M.,
Kim, C.,
Hefeeda, M.,
Matusik, W.,
Video Reflection Removal Through Spatio-Temporal Optimization,
ICCV17(2430-2438)
IEEE DOI
1802
image motion analysis, image restoration, image sequences,
iterative methods, optimisation, spatiotemporal phenomena,
Tracking
BibRef
Fan, Q.,
Yang, J.,
Hua, G.,
Chen, B.,
Wipf, D.,
A Generic Deep Architecture for Single Image Reflection Removal and
Image Smoothing,
ICCV17(3258-3267)
IEEE DOI
1802
convolution, edge detection, image reconstruction,
neural nets, cascaded convolutional layers,
Training
BibRef
Wan, R.,
Shi, B.,
Hwee, T.A.,
Kot, A.C.,
Depth of field guided reflection removal,
ICIP16(21-25)
IEEE DOI
1610
Erbium
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Marcinkiewicz, B.[Blazej],
Raczkowski, J.[Jacek],
Multiple Scattering in Cumulus Clouds,
ICCVG14(49-56).
Springer DOI
1410
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Bianco, S.[Simone],
Citrolo, A.G.[Andrea G.],
High Contrast Color Sets under Multiple Illuminants,
CCIW13(133-142).
Springer DOI
1304
are the colors different to people with different illuminations.
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Bärz, J.[Jakob],
Hansen, T.[Tina],
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Reconstruction of Spectra Using Empirical Basis Functions,
ISVC10(I: 582-591).
Springer DOI
1011
Image sysnthesis. Reconstruct from 3 color info.
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Intrinsic Color Acquisition By Active Color Lighting,
MVA09(459-).
PDF File.
0905
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Terado, I.[Ikuo],
Tachino, R.[Ryuuya],
Kenmochi, Y.[Yukiko],
Kotani, K.[Kazunori],
Reflection and Transparency Model of Rose Petals for Computer Graphics
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ICIP99(III:593-596).
IEEE DOI
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9900
Pitié, F.[François],
Kokaram, A.C.[Anil C.],
Dahyot, R.[Rozenn],
N-Dimensional Probablility Density Function Transfer and its
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ICCV05(II: 1434-1439).
IEEE DOI
0510
BibRef
Jang, Y.,
Identification of Interreflection in Color Images Using
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CVPR91(632-637).
IEEE DOI
BibRef
9100
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Color Correction .