Background-based objective measure for predicting subjective visual quality of distorted image

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new image objective quality measure, which is based on background activities. The proposed background-based quality measure is base on singular value decomposition (SVD) of block and background images. The proposed objective quality measure with weighted background activities and singular vectors error between the corresponding original and the distorted image blocks exhibits a better subjective visual quality prediction. Experiments results also show that the proposed background-based SVD image quality measure truly provides a better correlation with the human eyes perception than the existing measures.

Original languageEnglish
Title of host publication2006 IEEE Region 10 Conference, TENCON 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424405491, 9781424405497
DOIs
Publication statusPublished - 2006 Jan 1
Event2006 IEEE Region 10 Conference, TENCON 2006 - Hong Kong, China
Duration: 2006 Nov 142006 Nov 17

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other2006 IEEE Region 10 Conference, TENCON 2006
CountryChina
CityHong Kong
Period06-11-1406-11-17

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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