Computational geometry: an introduction
Computational geometry: an introduction
A novel algorithm for color constancy
International Journal of Computer Vision
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Colour Model Selection and Adaption in Dynamic Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Mean Shift Analysis and Applications
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Practical colour constancy
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Re-evaluating Colour Constancy Algorithms
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Improving gamut mapping color constancy
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A comparison of computational color constancy Algorithms. II. Experiments with image data
IEEE Transactions on Image Processing
One-click white balance using human skin reflectance
Proceedings of Graphics Interface 2009
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
International Journal of Computer Vision
Physics-based illuminant color estimation as an image semantics clue
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
Color based tracing in real-life surveillance data
Transactions on data hiding and multimedia security V
Scene illumination as an indicator of image manipulation
IH'10 Proceedings of the 12th international conference on Information hiding
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
Adaptive colour constancy algorithm using discrete wavelet transform
Computer Vision and Image Understanding
Pixel distribution shifting color correction for digital color images
Applied Soft Computing
User-guided white balance for mixed lighting conditions
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Illuminant estimation from projections on the planckian locus
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Multi-objective optimization based color constancy
Applied Soft Computing
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This paper presents a novel solution to the illuminant estimation problem: the problem of how, given an image of a scene taken under an unknown illuminant, we can recover an estimate of that light. The work is founded on previous gamut mapping solutions to the problem which solve for a scene illuminant by determining the set of diagonal mappings which take image data captured under an unknown light to a gamut of reference colours taken under a known light. Unfortunately, a diagonal model is not always a valid model of illumination change and so previous approaches sometimes return a null solution. In addition, previous methods are difficult to implement. We address these problems by recasting the problem as one of illuminant classification: we define a priori a set of plausible lights thus ensuring that a scene illuminant estimate will always be found. A plausible light is represented by the gamut of colours observable under it and the illuminant in an image is classified by determining the plausible light whose gamut is most consistent with the image data. We show that this step (the main computational burden of the algorithm) can be performed simply and efficiently by means of a non-negative least-squares optimisation. We report results on a large set of real images which show that it provides excellent illuminant estimation, outperforming previous algorithms.