Thu, 21 Aug 2008 14:13:44 BST CiteULike: stsaft's Inamdar http://www.citeulike.org/user/stsaft/author/Inamdar CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/stsaft/article/2714533 <i>Speech, Audio, Image and Biomedical Signal Processing using Neural Networks (2008), pp. 217-241.</i><br /><br />Varying illumination conditions result in images of a same scene differing widely in color and contrast. Accommodating such images is a problem ubiquitous in machine vision systems. A general approach is to map colors (or features extracted from colors within some pixel neighborhood) from a source image to those in some target image acquired under canonical conditions. This article reports two different methods, one neural network-based and the other multidimensional probability density function matching-based, developed to address the problem. We explain the problem, discuss the issues related to color correction and show the results of such an effort for specific applications. Color Transfer and its Applications Arvind Nayak Subhasis Chaudhuri Shilpa Inamdar doi:10.1007/978-3-540-75398-8_10 Speech, Audio, Image and Biomedical Signal Processing using Neural Networks (2008), pp. 217-241. 2008-04-24T22:37:46-00:00 2008 Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 217 241 colorization