A psychophysical performance-based approach to the quality assessment of image processing algorithms

Image processing algorithms are used to improve digital image representations in either their appearance or storage efficiency. The merit of these algorithms depends, in part, on visual perception by human observers. However, in practice, most are assessed numerically, and the perceptual metrics tha...

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Bibliographic Details
Published in:	PloS one Vol. 17; no. 5; p. e0267056
Main Authors:	Baker, Daniel H., Summers, Robert J., Baldwin, Alex S., Meese, Tim S.
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 05.05.2022 Public Library of Science (PLoS)
Subjects:	Algorithms Biology and Life Sciences Cartesian coordinates Compression Digital imaging Engineering and Technology Experiments Filters Gabor filters Image processing Image quality Noise Noise reduction Parameters Physical Sciences Psychophysics Quality assessment Quality control Research and Analysis Methods Social Sciences Thresholds Visual observation Visual perception Visual perception driven algorithms White noise United Kingdom
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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