A new model of perceptual threshold functions for application in image compression systems

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Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Mathews, V. John
Other Author Prashant, K. S.; Hahn, Peter J.
Title A new model of perceptual threshold functions for application in image compression systems
Date 1995
Description This paper discusses the development of a perceptual threshold model for the human visual system. The perceptual threshold functions describe the levels of distortions present at each location in an image that human observers can not detect. Models of perceptual threshold functions are useful in image compression problems because an image compression system that constrains the distortion in the coded images below the levels suggested by the perceptual threshold function performs perceptually lossless compression. Our model involves the decomposition of an input imageinto its Fourrier components and spatially localized Gabor elementary functions.Data from psychophysical masking experiments are then used to calculate the perceptual detection threshold for each Gabor transform coefficient in the presence of sinusoidal masks. The result of one experiment involving distorting an image using additive noise of magnitudes as suggested by the threshold model is also included in this paper.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 371
Last Page 380
Language eng
Bibliographic Citation Prashant, K. S., Mathews, V. J., & Hahn, P. J. (1995). A new model of perceptual threshold functions for application in image compression systems. Proceedings of the IEEE Data Compression Workshop, 371-80. March.
Rights Management (c) 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 789,350 bytes
Identifier ir-main,15147
ARK ark:/87278/s6vd7gv2
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2012-06-13
ID 705282
Reference URL https://collections.lib.utah.edu/ark:/87278/s6vd7gv2
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