DIGITAL IMAGE COMPRESSION BASED ON VISUAL-PERCEPTION AND SCENE PROPERTIES

Authors
Citation
We. Glenn, DIGITAL IMAGE COMPRESSION BASED ON VISUAL-PERCEPTION AND SCENE PROPERTIES, SMPTE journal, 102(5), 1993, pp. 392-397
Citations number
7
Categorie Soggetti
Instument & Instrumentation",Telecommunications,"Photographic Tecnology
Journal title
ISSN journal
00361682
Volume
102
Issue
5
Year of publication
1993
Pages
392 - 397
Database
ISI
SICI code
0036-1682(1993)102:5<392:DICBOV>2.0.ZU;2-4
Abstract
Digital compression techniques have made impressive progress in recent years. Frequently, a reader of a paper on compression is left with th e impression that one is getting something for nothing; however, compr ession can only be achieved by leaving out unnecessary information abo ut the image. A compression ratio of 20:1 simply means that 95% of the information in the original image has been eliminated. There are only two types of information that can be removed without seeing degradati on in image quality: information that can be accurately predicted or i nformation that the human visual system cannot see. This article will discuss present compression techniques in terms of these two factors a nd show how even further compression can be obtained by developing a c omplete understanding of scene properties and those of visual percepti on. From an analysis based on present knowledge of visual perception a nd scene statistics, compression ratios in excess of 50:1 should be ac hievable without perceptible degradation.