… In this paper, color constancy is defined as correcting an image that was taken under an
unknown light source so that it appears to be taken under a canonical (often white) light source. …

… and combining of color constancy algorithms, in this paper, natural image statistics are used
… selection and combining of color constancy algorithms, natural image statistics are used to …

… et al.’s Color by Correlation method. We discuss a number of issues in applying color constancy
ideas to image data, and … 4 we plot some image statistics and the analogous statistics for …

… color constancy, and the part we consider in this paper, is compensating for the color cast …
by decomposing an input color image into distinct spatial subbands, and then we model the …

… Together, all four global color properties accounted for 70% … color constancy, and, additionally,
of changing test-surface position. By contrast, a spatial-frequency analysis of the images …

… color constancy problem: the input image I (taken from [24, 33]) looks green, and we want to
recover a white-balanced image … images will reflect edge and spatial statistics of the image I, …

… Among various color constancy algorithms, the color transform of image induced by the
illuminant can be well approximated by a diagonal transform [11,14,25,27]. Thus, based on the …

… Statistical approaches Color constancy algorithms discussed under this classification are often
based on the basic statistical … best at achieving color constancy on real images. Funt et al. …

… benchmark dataset with 1707 calibrated high-quality images … a new large color constancy
benchmark dataset with images of … Gevers, “Color constancy using natural image statistics and …

… We present a study on various statistics relevant to research on color constancy. Many …
color constancy was not available. Our image database consists of approximately 11,000 images …