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Chroma variations and perceived quality of color images of natural scenes
Author(s) -
Fedorovskaya Elena A.,
de Ridder Huib,
Blommaert Frans J. J.
Publication year - 1997
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/(sici)1520-6378(199704)22:2<96::aid-col5>3.0.co;2-z
Subject(s) - naturalness , hue , artificial intelligence , lightness , mathematics , computer vision , color space , pixel , brightness , image subtraction , perception , point (geometry) , set (abstract data type) , pattern recognition (psychology) , computer science , image (mathematics) , image processing , optics , psychology , geometry , binary image , physics , quantum mechanics , neuroscience , programming language
Transformations of natural images in the perceptually uniform CIELUV color space have been investigated with respect to perceptual image quality. To this end, digitized color images of four natural scenes were described on the basis of their color point distributions in the CIELUV color space. A new set of images was created by varying the chroma value of each pixel while the lightness and hue angle were kept constant. The chroma was changed in two different ways: (1) through the addition or subtraction of the same amount of chroma to or from the chroma value of each pixel; (2) through multiplication of the chroma value of each pixel by a constant. In three experiments, subjects judged the perceptual quality, colorfulness, and naturalness of the images on a ten‐point numerical category scale. The results indicate that colorfulness is the main perceptual attribute underlying image quality when chroma varies. Colorfulness itself was found to depend on both the average chroma and its variability. In general, the subjects preferred slightly more colorful images to the original ones. The perceptual quality of the images was found to be closely related to the naturalness of the images. © 1997 John Wiley & Sons, Inc. Col Res Appl, 22, 96–110, 1997