Data compression and perceived quality

Author

Smith, J. Lynn

Author_Institution

Dept. of Simulation & Signature, Vitro Tech. Services, Eglin Air Force Base, FL, USA

Volume

12

Issue

5

fYear

1995

fDate

9/1/1995 12:00:00 AM

Firstpage

58

Lastpage

59

Abstract

Discusses image compression and the block compression algorithm (BCA). The power spectrum, Bode diagram, or modulation transfer function (MTF) for the transmitted, reconstructed signal are the usual measures of system resolution. Any one of these resolution measures is often nearly identical for the ordinary signal and that for which the BCA is used. Yet, observers of that same transmitted signals perceive a much more profound difference than indicated by the resolution measure. At high compression, they say it is choppy and disturbing for the dynamic features. The author discusses how one can describe a measure of the effect of the BCA on the observation

Keywords

data compression; image coding; image reconstruction; image resolution; optical transfer function; visual perception; BCA; Bode diagram; block compression algorithm; dynamic features; high compression; image compression; modulation transfer function; perceived quality; power spectrum; resolution; transmitted reconstructed signal; Compression algorithms; Computer vision; Data compression; Gaussian noise; Human factors; Image coding; Microwave communication; Noise level; Power measurement; Signal resolution;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/79.410441

Filename

410441