The effect of opponent noise on image quality
Author(s) -
Garrett Johnson,
Mark D. Fairchild
Publication year - 2005
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.587384
Subject(s) - luminance , artificial intelligence , contrast (vision) , image quality , noise (video) , octave (electronics) , computer vision , chromatic scale , image noise , quality (philosophy) , mathematics , image (mathematics) , computer science , optics , physics , quantum mechanics , combinatorics
A psychophysical experiment was performed examining the effect of luminance and chromatic noise on perceived image quality. The noise was generated in a recently developed isoluminant opponent space. 5 spatial frequency octave bands centered at 2, 4, 8, 16, and 32 cycles-per-degree (cpd) of visual angle were generated for each of the luminance, red-green, and blue-yellow channels. Two levels of contrast at each band were examined. Overall there were 30 images and 1 "original" image. Four different image scenes were used in a paired-comparison experiment. Observers were asked to select the image that appears to be of higher quality. The paired comparison data were used to generate interval scales of image quality using Thurstone's Law of Comparative Judgments. These interval scales provide insight into the effect of noise on perceived image quality. Averaged across the scenes, the original noise-free image was determined to be of highest quality. While this result is not surprising on its own, examining several of the individual scenes shows that adding low-contrast blue-yellow isoluminant noise does not statistically decrease image quality and can result in a slight increase in quality.
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