Gamut Constrained Illuminant Estimation
International Journal of Computer Vision
Rapid Biologically-Inspired Scene Classification Using Features Shared with Visual Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of skin-color modeling and detection methods
Pattern Recognition
Foundations and Trends® in Computer Graphics and Vision
Dichromatic illumination estimation without pre-segmentation
Pattern Recognition Letters
Color Subspaces as Photometric Invariants
International Journal of Computer Vision
Object matching in disjoint cameras using a color transfer approach
Machine Vision and Applications
Color Constancy Based on Image Similarity
IEICE - Transactions on Information and Systems
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
A sequential Bayesian approach to color constancy using non-uniform filters
Computer Vision and Image Understanding
Region-Based Illuminant Estimation for Effective Color Correction
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Llumination estimation combining physical and statistical approaches
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Color constancy in the compressed domain
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Color constancy using denoising methods and cepstral analysis
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A Solution of the Dichromatic Model for Multispectral Photometric Invariance
International Journal of Computer Vision
Region adaptive color demosaicing algorithm using color constancy
EURASIP Journal on Advances in Signal Processing
A supervised combination strategy for illumination chromaticity estimation
ACM Transactions on Applied Perception (TAP)
A probabilistic approach to spectral unmixing
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Perceptually motivated automatic color contrast enhancement based on color constancy estimation
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Video-based illumination estimation
CCIW'11 Proceedings of the Third international conference on Computational color imaging
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Singular value decomposition-based illumination compensation in video
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Adaptive colour constancy algorithm using discrete wavelet transform
Computer Vision and Image Understanding
A new color constancy algorithm based on the histogram of feasible mappings
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Pixel distribution shifting color correction for digital color images
Applied Soft Computing
A flexible auto white balance based on histogram overlap
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume Part I
Simultaneous image color correction and enhancement using particle swarm optimization
Engineering Applications of Artificial Intelligence
A linear system form solution to compute the local space average color
Machine Vision and Applications
Hi-index | 0.01 |
For pt.I see ibid., vol. 11, no.9, p.972-84 (2002). We test a number of the leading computational color constancy algorithms using a comprehensive set of images. These were of 33 different scenes under 11 different sources representative of common illumination conditions. The algorithms studied include two gray world methods, a version of the Retinex method, several variants of Forsyth's (1990) gamut-mapping method, Cardei et al.'s (2000) neural net method, and Finlayson et al.'s color by correlation method (Finlayson et al. 1997, 2001; Hubel and Finlayson 2000). We discuss a number of issues in applying color constancy ideas to image data, and study in depth the effect of different preprocessing strategies. We compare the performance of the algorithms on image data with their performance on synthesized data. All data used for this study are available online at http://www.cs.sfu.ca/∼color/data, and implementations for most of the algorithms are also available (http://www.cs.sfu.ca/∼color/code). Experiments with synthesized data (part one of this paper) suggested that the methods which emphasize the use of the input data statistics, specifically color by correlation and the neural net algorithm, are potentially the most effective at estimating the chromaticity of the scene illuminant. Unfortunately, we were unable to realize comparable performance on real images. Here exploiting pixel intensity proved to be more beneficial than exploiting the details of image chromaticity statistics, and the three-dimensional (3-D) gamut-mapping algorithms gave the best performance.