Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bilateral Filtering for Gray and Color Images
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
A Combined Physical and Statistical Approach to Colour Constancy
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Gamut Constrained Illuminant Estimation
International Journal of Computer Vision
Nonlocal Image and Movie Denoising
International Journal of Computer Vision
Color Constancy by Local Averaging
ICIAPW '07 Proceedings of the 14th International Conference of Image Analysis and Processing - Workshops
A comparison of computational color constancy Algorithms. II. Experiments with image data
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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We address here the problem of color constancy and propose two new methods for achieving color constancythe first method uses denoising techniques such as a Gaussian filter, Median filter, Bilateral filter and Nonlocal means filter to smooth the image for illuminant estimation, while the second method acts in the frequency domain by doing a cepstral analysis of the image. We provide extensive validation tests for our illuminant estimation on commonly used datasets having images under different illumination conditions, and the results show that both new methods outperform current state-of-the-art color constancy approaches, at a very low computational cost.