Objective quality assessment technique for digital image sequences

Wilfried Osberger, Anthony J. Maeder, Donald McLean

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

This paper describes an objective quality measure for image sequences based on a model of the human visual system (HVS). When developing an appropriate HVS based model it is important to consider the structure of the pictures and of the coding errors introduced by the compression scheme. This is because they are both unlike the simple and artificial stimuli used in psychophysical tests to obtain HVS parameters. An analysis of the important features of coded pictures is given, and a perceptual quality model incorporating these features is described. Additional uses of a multi-dimensional quality measure are also discussed.

Original languageEnglish
Title of host publicationProceedings, International Conference on Image Processing, September 16-19, 1996, Lausanne, Switzerland
Place of PublicationPiscataway, NJ
Pages897-900
Number of pages4
Volume2 (of 3)
Publication statusPublished - 1996
Externally publishedYes
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz
Duration: 16 Sep 199619 Sep 1996

Conference

ConferenceProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CityLausanne, Switz
Period16/09/9619/09/96

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  • Cite this

    Osberger, W., Maeder, A. J., & McLean, D. (1996). Objective quality assessment technique for digital image sequences. In Proceedings, International Conference on Image Processing, September 16-19, 1996, Lausanne, Switzerland (Vol. 2 (of 3), pp. 897-900).