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Objective quality assessment of screen content images by structure information

  • Yuming Fang
  • , Jiebin Yan
  • , Jiaying Liu
  • , Shiqi Wang
  • , Qiaohong Li
  • , Zongming Guo*
  • *Corresponding author for this work

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

Abstract

In this paper, we propose a novel full-reference objective quality assessment metric of screen content images by structure information. The input screen content image is first divided into textual and pictorial regions. The visual quality of textual regions is predicted based on perceptual structural similarity, where the gradient information is used as the feature. To estimate the visual quality of pictorial regions, we extract the luminance and structure features as feature representation. The overall quality of the screen content image is measured by fusing those of textual and pictorial parts. Experimental results show that the proposed method can obtain better performance of visual quality prediction of SCIs than other existing ones.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing – 17th Pacific-Rim Conference on Multimedia, PCM 2016, Proceedings
EditorsEnqing Chen, Yun Tie, Yihong Gong
PublisherSpringer Verlag
Pages609-616
Number of pages8
ISBN (Print)9783319488950
DOIs
StatePublished - 2016
Externally publishedYes
Event17th Pacific-Rim Conference on Multimedia, PCM 2016 - Xi’an, China
Duration: 15 Sep 201616 Sep 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9917 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th Pacific-Rim Conference on Multimedia, PCM 2016
Country/TerritoryChina
CityXi’an
Period15/09/1616/09/16

Keywords

  • Full-reference quality assessment
  • Screen content image
  • Visual quality assessment

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