Full-reference image quality assessment via region-based analysis

Ke Gu*, Wenjun Zhang, Ci Wang, Guangtao Zhai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Image quality assessment (IQA) plays an important role in many image processing systems. Based on the fact that different image components have different visual impact, we propose a new region-based method using a three-region image model and Back Propagation (BP) neural network. Experimental results show that our algorithm is obviously better than the peer image quality assessment method, using the Laboratory for Image and Video Engineering (LIVE) database as a test-bed.

Original languageEnglish
Title of host publicationProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Pages1711-1715
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event4th International Congress on Image and Signal Processing, CISP 2011 - Shanghai, China
Duration: 15 Oct 201117 Oct 2011

Publication series

NameProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Volume3

Conference

Conference4th International Congress on Image and Signal Processing, CISP 2011
Country/TerritoryChina
CityShanghai
Period15/10/1117/10/11

Keywords

  • Image quality assessment (IQA)
  • back propagation (BP) neural network
  • region-based analysis

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