PERCEPTUALLY WEIGHTED COLOR-TO-GRAYSCALE CONVERSION FOR IMAGES WITH NON-UNIFORM CHROMATIC DISTRIBUTION USING MULTIPLE REGRESSION

Abstract
Color-to-Gray scale conversion methods try to identify weights for various color channels to obtain a gray-scale image. These weights can be fixed either globally or computed on a localized basis. This paper presents an approach for computing the global weights using localized regions perpetually selected based on human perception. The approach aims to bring forth a color invariant gray scale conversion, such that it tries to maximize the required foreground information. The proposed method was tested on DIBCO-2013 dataset and qualitatively evaluated by looking at the structural similarity with the foreground using SSIM. The experimental results of ours and other color-to-gray scale methods have been tabulated and discussed.

Authors
ME Paramasivam, R S Sabeenian, P M Dinesh
Sona College of Technology, India

Keywords
Color-to-Grayscale Conversion, Multiple Regression, Least-Square Approach, Color Image, Gray Scale Image
Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 11 , Issue: 2 )
Date of Publication :
November 2020
DOI :

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