Image quality assessment measure based on visual region and displacement with distorted pixels for compressed image

Joint Authors

Zianou, A. S.
Hachouf, F.

Source

Journal of Automation and Systems Engineering

Issue

Vol. 4, Issue 3 (30 Sep. 2010), pp.196-211, 16 p.

Publisher

Piercing Star House

Publication Date

2010-09-30

Country of Publication

Algeria

No. of Pages

16

Main Subjects

Engineering & Technology Sciences (Multidisciplinary)
Information Technology and Computer Science

Topics

Abstract EN

Image quality assessment (QA) plays a major role in a broad range of applications.

Evaluating the adequacy of a quality image for a given application (image or video processing applications) is a requisite.

However, objective quality assessment is far from being a solved problem.

In this paper, a measure for image quality assessment is introduced after a brief review of previous work.

A metric based on the distance between blocks of distorted and original image is proposed to overcome some of the limitations of existing approaches.

Distorted pixel and visual regions of interest are computed.

Experimental results confirm the potential of the proposed measure.

American Psychological Association (APA)

Zianou, A. S.& Hachouf, F.. 2010. Image quality assessment measure based on visual region and displacement with distorted pixels for compressed image. Journal of Automation and Systems Engineering،Vol. 4, no. 3, pp.196-211.
https://search.emarefa.net/detail/BIM-180340

Modern Language Association (MLA)

Zianou, A. S.& Hachouf, F.. Image quality assessment measure based on visual region and displacement with distorted pixels for compressed image. Journal of Automation and Systems Engineering Vol. 4, no. 3 (Sep. 2010), pp.196-211.
https://search.emarefa.net/detail/BIM-180340

American Medical Association (AMA)

Zianou, A. S.& Hachouf, F.. Image quality assessment measure based on visual region and displacement with distorted pixels for compressed image. Journal of Automation and Systems Engineering. 2010. Vol. 4, no. 3, pp.196-211.
https://search.emarefa.net/detail/BIM-180340

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 209-211.

Record ID

BIM-180340