An analytical model of the perceptual threshold function for multichannel image compression

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Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Mathews, V. John
Other Author Hahn, Peter J.
Title An analytical model of the perceptual threshold function for multichannel image compression
Date 1998
Description ABSTRACT The human observer is often the final judge of the quality of compressed images. One way to design a compression system that attempts to reduce or eliminate subjective distortions in the coded images is to incorporate a perceptual threshold function model into the compression system. The perceptual threshold function describes the amount of quantization error that can be introduced into a particular component of the image without introducing any visual distortions. This paper describes an analytical approach for the determination of the perceptual threshold values for use in an arbitrary multichannel image compression system. Experimental results obtained from a compression system that incorporates the perceptual threshold function are also included in the paper.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 404
Last Page 408
Language eng
Bibliographic Citation Hahn, P. J., & Mathews, V. J. (1998). An analytical model of the perceptual threshold function for multichannel image compression. Proc. IEEE International Conference on Image Processing, 404-8. October.
Rights Management (c) 1998 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 549,527 bytes
Identifier ir-main,15167
ARK ark:/87278/s6q5378c
Setname ir_uspace
ID 707319
Reference URL https://collections.lib.utah.edu/ark:/87278/s6q5378c
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