Color Transfer and its Applications

by: Arvind Nayak, Subhasis Chaudhuri, Shilpa Inamdar

Speech, Audio, Image and Biomedical Signal Processing using Neural Networks (2008), pp. 217-241.

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Abstract

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.

@incollection{citeulike:2714533, abstract = {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.}, author = {Nayak, Arvind and Chaudhuri, Subhasis and Inamdar, Shilpa }, citeulike-article-id = {2714533}, doi = {10.1007/978-3-540-75398-8\_10}, journal = {Speech, Audio, Image and Biomedical Signal Processing using Neural Networks}, keywords = {colorization}, pages = {217--241}, posted-at = {2008-04-24 23:38:00}, priority = {4}, title = {Color Transfer and its Applications}, url = {http://dx.doi.org/10.1007/978-3-540-75398-8\_10}, year = {2008} }

RIS record

TY - CHAP ID - citeulike:2714533 L3 - citeulike-article-id:2714533 TI - Color Transfer and its Applications JF - Speech, Audio, Image and Biomedical Signal Processing using Neural Networks SP - 217 EP - 241 N2 - 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. KW - colorization AU - Nayak, Arvind AU - Chaudhuri, Subhasis AU - Inamdar, Shilpa PY - 2008/// UR - http://dx.doi.org/10.1007/978-3-540-75398-8_10 ER -

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