A Design Method of Saturation Test Image Based on CIEDE2000
Author(s) -
Yang Yang,
Ming Jun,
Nenghai Yu
Publication year - 2012
Publication title -
advances in multimedia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.278
H-Index - 17
eISSN - 1687-5699
pISSN - 1687-5680
DOI - 10.1155/2012/513963
Subject(s) - hue , lightness , artificial intelligence , saturation (graph theory) , mathematics , masking (illustration) , computer vision , computer science , pattern recognition (psychology) , art , combinatorics , visual arts
In order to generate color test image consistent with human perception in aspect of saturation, lightness, and hue of image, we propose a saturation test image design method based on CIEDE2000 color difference formula. This method exploits the subjective saturation parameter C′ of CIEDE2000 to get a series of test images with different saturation but same lightness and hue. It is found experimentally that the vision perception has linear relationship with the saturation parameter C′. This kind of saturation test image has various applications, such as in the checking of color masking effect in visual experiments and the testing of the visual effects of image similarity component.
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