Classification-Based Color Constancy
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Color in image and video processing: most recent trends and future research directions
Journal on Image and Video Processing - Color in Image and Video Processing
A Perceptual Comparison of Distance Measures for Color Constancy Algorithms
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Color Constancy Based on Effective Regions
IEICE - Transactions on Information and Systems
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
Automatic color constancy algorithm selection and combination
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Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
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Llumination estimation combining physical and statistical approaches
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Color constancy using stage classification
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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)
Color based tracing in real-life surveillance data
Transactions on data hiding and multimedia security V
A probabilistic approach to spectral unmixing
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Algorithm for computational measure of color constancy
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
ACM SIGGRAPH 2011 papers
Perceptually motivated automatic color contrast enhancement based on color constancy estimation
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Estimation of multiple illuminants based on specular highlight detection
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Video-based illumination estimation
CCIW'11 Proceedings of the Third international conference on Computational color imaging
Automatic color detection of archaeological pottery with munsell system
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Color based skin classification
Pattern Recognition Letters
Adaptive colour constancy algorithm using discrete wavelet transform
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Evaluating a color-based active basis model for object recognition
Computer Vision and Image Understanding
Context-based automatic local image enhancement
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Illuminant estimation from projections on the planckian locus
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Optimizing color consistency in photo collections
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A biologically motivated double-opponency approach to illumination invariance
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
Simultaneous image color correction and enhancement using particle swarm optimization
Engineering Applications of Artificial Intelligence
Multi-objective optimization based color constancy
Applied Soft Computing
Camera Spectral Sensitivity and White Balance Estimation from Sky Images
International Journal of Computer Vision
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Color constancy is the ability to measure colors of objects independent of the color of the light source. A well-known color constancy method is based on the gray-world assumption which assumes that the average reflectance of surfaces in the world is achromatic. In this paper, we propose a new hypothesis for color constancy namely the gray-edge hypothesis, which assumes that the average edge difference in a scene is achromatic. Based on this hypothesis, we propose an algorithm for color constancy. Contrary to existing color constancy algorithms, which are computed from the zero-order structure of images, our method is based on the derivative structure of images. Furthermore, we propose a framework which unifies a variety of known (gray-world, max-RGB, Minkowski norm) and the newly proposed gray-edge and higher order gray-edge algorithms. The quality of the various instantiations of the framework is tested and compared to the state-of-the-art color constancy methods on two large data sets of images recording objects under a large number of different light sources. The experiments show that the proposed color constancy algorithms obtain comparable results as the state-of-the-art color constancy methods with the merit of being computationally more efficient.