Color scene transform between images using Rosenfeld-Kak histogram matching method


Journal: Vol.6, No.1, Winter 2013 - Article 3   Pages :   Until 



Article Code:
PCCC-29-07-2012-201

Authors:
Saeideh Gorji Kandi: Amirkabir University of Technology - Polymer Engineering and Color Technology Departmen
Keivan Ansari: Institute for Color Science and Technology - Department of Color Imaging and Color Image Processing


Article's abstract:

In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color scene between two images, the histograms of the three R, G and B channels of the input image would be matched to the corresponding histograms of the destination one. The performance of the introduced method was investigated for several images. The obtained results indicated that this method is well capable of transforming the color scene between images.


Keywords:
color scene, histogram matching, color transform, color image

References:
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Manager-in-Chief:
Prof. Zahra Ranjbar
Editor-in-Chief:
Dr. Farahnaz Nourmohammadian
Assistant Editor:
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ISSN:
2008-2134
ISSN (online):
2383-1790
Publisher:
Institute for Color Science and Technology (ICST)

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