Space and frequency hybrid algorithm to remove block artifacts

Jiwu Huang, Yun-Qing Shi

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Postfiltering of block artifacts in decoded images has drawn extensive attention. But less improvements have been made for staircase noise. In this paper a space and frequency hybrid algorithm is presented. First, the edge information in the decoded images is extracted. Based on an analysis of artifacts in frequency domain, the block effect in the edge image is removed by using a notch filter. The filtered edge image is used for a neighborhood analysis. A space-variant filter, consisting of a 2-D LPF and a 1-D directional LPF, is then applied to the decoded image to reduce artifacts. Which of the filters is chosen to apply depends on the neighborhood analysis. Finally, the contrast is enhanced. The simulation results demonstrate that the proposed algorithm improves both the subjective visual quality and PSNR of decoded images effectively.

Original languageEnglish (US)
Pages (from-to)869-872
Number of pages4
JournalInternational Conference on Signal Processing Proceedings, ICSP
Volume2
StatePublished - Dec 1 1998
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Science Applications

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