%0 Conference Proceedings
%T Full-Reference Image Quality Assessment Measure Based on Color Distortion
%+ centre universitaire de Khenchela
%+ Université Frères Mentouri – Constantine 1 = Constantine 1 – Frères Mentouri University (UMC)
%A Seghir, Zianou, Ahmed
%A Hachouf, Fella
%Z Part 3: Computational Intelligence: Image Processing
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 5th International Conference on Computer Science and Its Applications (CIIA)
%C Saida, Algeria
%Y Abdelmalek Amine
%Y Ladjel Bellatreche
%Y Zakaria Elberrichi
%Y Erich J. Neuhold
%Y Robert Wrembel
%I Springer International Publishing
%3 Computer Science and Its Applications
%V AICT-456
%P 66-77
%8 2015-05-20
%D 2015
%R 10.1007/978-3-319-19578-0_6
%K Gradient similarity
%K Quality assessment
%K Test image
%K Color distortion
%K Color space
%Z Computer Science [cs]Conference papers
%X The purpose of this paper is to introduce a new method for image quality assessment (IQA). The method adopted here is assumed to be Full-reference measure. Color images that are corrupted with different kinds of distortions are assessed by applying a color distorted algorithm on each color component separately. This approach use especially YIQ color space in computation. Gradient operator was successfully introduced to compute gradient image from the luminance channel of images. In this paper, we propose an alternative technique to evaluate image quality. The main difference between the new proposed method and the gradient magnitude similarity deviation (GMSD) method is the usage of color component for the detection of distortion.Experimental comparisons demonstrate the effectiveness of the proposed method.
%G English
%Z TC 5
%2 https://inria.hal.science/hal-01789962/document
%2 https://inria.hal.science/hal-01789962/file/339159_1_En_6_Chapter.pdf
%L hal-01789962
%U https://inria.hal.science/hal-01789962
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-AICT-456
%~ IFIP-CIIA