No-reference quality assessment method for block-coding video

Fu Zheng Yang, Yi Lin Chang, Shuai Wan

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

A new no-reference quality assessment method for block-coding video is presented in this paper. Firstly, a new blocking artifact metric is presented based on Human Visual System (HVS) taking into account of the luminance masking and activity masking characteristics. Then, with consideration of the effect of filtering, a method is proposed for assessing the quality of the reconstructed videos compressed with different block-coding algorithms. Experimental results show that the proposed no-reference quality assessment method has good consistency with subjective quality assessment methods.

Original languageEnglish
Pages (from-to)728-731
Number of pages4
JournalDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume28
Issue number4
StatePublished - Apr 2006
Externally publishedYes

Keywords

  • Blocking artifacts
  • Human visual system
  • Video quality assessment

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