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International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.9, No.2, Feb. 2017

An Integrated CEA Approach for Color Light Source Estimation

Full Text (PDF, 706KB), PP.58-65


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Author(s)

Harpreet Kaur, Sandeep Sharma

Index Terms

Color constancy;illuminant estimation;performance evaluation;Adaptive histogram Equalization; Edge preservation filter;CLAHE(Contrast Limited Adaptive Histogram Equalization)

Abstract

Color constancy is an element of human vision framework which guarantees that the apparent color of items under fluctuating light conditions generally remains constant. It is fundamentally used to eliminate the color cast in the picture. Color Cat is a quick and precise learning-based methodology for accomplishing computational color constancy. However, despite everything it confronts a few limitations like poor brightness due to normalization used. Furthermore it doesn't promise edge preservation. So to overcome these issues a CEA strategy has been proposed which is a hybrid model based on Color Cat, Edge preservation filter and Adaptive histogram Equalization. As Adaptive histogram Equalization is exceptionally valuable for contrast improvement and edges are protected by edge preservation filter. Experimental results show that the proposed CEA approach outperforms over existing techniques.

Cite This Paper

Harpreet Kaur, Sandeep Sharma,"An Integrated CEA Approach for Color Light Source Estimation", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.2, pp.58-65, 2017. DOI: 10.5815/ijitcs.2017.02.07

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