Screen Image Quality Assessment Incorporating Structural Degradation Measurement

Ke Gu, Shiqi Wang, Guangtao Zhai, Siwei Ma, Weisi Lin

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

49 Citations (Scopus)

Abstract

Screen content is typically composed of computer generated text and graphics. The contents shown on the screen exhibit various unnatural properties, such as sharp edges and thin lines with few color variations. In this paper we design a novel structure-induced quality metric (SIQM) for assessing the screen image quality. The proposed SIQM works by weighting the benchmark structural similarity index (SSIM) with the structural degradation measurement that is computed using SSIM as well. Experimental results conducted on the newly released subjective quality database concerning screen images show that on one hand the proposed technique is superior to existing quality measures, and on the other hand our model is able to optimize screen video coding and thus introduce remarkable visual quality improvement.
Original languageEnglish
Title of host publication2015 IEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE
Pages125-128
ISBN (Electronic)978-1-4799-8391-9
DOIs
Publication statusPublished - May 2015
Externally publishedYes
Event2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015): Enabling Technologies for Societal Challenges - Cultural Centre of Belém, Lisbon, Portugal
Duration: 24 May 201527 May 2015
http://www.iscas2015.org/

Publication series

NameIEEE International Symposium on Circuits and Systems (ISCAS)
PublisherIEEE
Volume2015
ISSN (Print)0271-4302
ISSN (Electronic)2158-1525

Conference

Conference2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015)
PlacePortugal
CityLisbon
Period24/05/1527/05/15
Internet address

Research Keywords

  • image quality assessment (IQA)
  • Screen content
  • screen video coding
  • structural degradation
  • structural similarity

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