Pattern Search Algorithms for Bound Constrained Minimization
SIAM Journal on Optimization
Pattern Search Methods for Linearly Constrained Minimization
SIAM Journal on Optimization
Is Machine Colour Constancy Good Enough?
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Re-evaluating Colour Constancy Algorithms
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Classification-Based Color Constancy
VISUAL '08 Proceedings of the 10th international conference on Visual Information Systems: Web-Based Visual Information Search and Management
Supervised and unsupervised classification post-processing for visual video summaries
IEEE Transactions on Consumer Electronics
A comparison of computational color constancy Algorithms. II. Experiments with image data
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Improving Color Constancy Using Indoor–Outdoor Image Classification
IEEE Transactions on Image Processing
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Several algorithms were proposed in the literature to recover the illuminant chromaticity of the original scene. These algorithms work well only when prior assumptions are satisfied, and the best and the worst algorithms may be different for different scenes. In particular for certain images a do nothing strategy can be preferred. Starting from these considerations, we have developed a region-based color constancy algorithm able to automatically select (and/or blend) among different color corrections, including a conservative do nothing strategy. The strategy to be applied is selected without any a priori knowledge of the image content and only performing image low level analysis.