Saliency-Guided Quality Assessment of Screen Content Images

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

219 Scopus Citations
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Author(s)

  • Ke Gu
  • Huan Yang
  • Weisi Lin
  • Guangtao Zhai
  • Xiaokang Yang
  • Wenjun Zhang

Detail(s)

Original languageEnglish
Article number7444164
Pages (from-to)1098-1110
Journal / PublicationIEEE Transactions on Multimedia
Volume18
Issue number6
Online published30 Mar 2016
Publication statusPublished - Jun 2016
Externally publishedYes

Abstract

With the widespread adoption of multidevice communication, such as telecommuting, screen content images (SCIs) have become more closely and frequently related to our daily lives. For SCIs, the tasks of accurate visual quality assessment, high-efficiency compression, and suitable contrast enhancement have thus currently attracted increased attention. In particular, the quality evaluation of SCIs is important due to its good ability for instruction and optimization in various processing systems. Hence, in this paper, we develop a new objective metric for research on perceptual quality assessment of distorted SCIs. Compared to the classical MSE, our method, which mainly relies on simple convolution operators, first highlights the degradations in structures caused by different types of distortions and then detects salient areas where the distortions usually attract more attention. A comparison of our algorithm with the most popular and state-of-The-Art quality measures is performed on two new SCI databases (SIQAD and SCD). Extensive results are provided to verify the superiority and efficiency of the proposed IQA technique.

Research Area(s)

  • image quality assessment (IQA), Screen content images (SCIs), visual saliency

Citation Format(s)

Saliency-Guided Quality Assessment of Screen Content Images. / Gu, Ke; Wang, Shiqi; Yang, Huan; Lin, Weisi; Zhai, Guangtao; Yang, Xiaokang; Zhang, Wenjun.

In: IEEE Transactions on Multimedia, Vol. 18, No. 6, 7444164, 06.2016, p. 1098-1110.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review