Efficient quadtree based block-shift filtering for deblocking and deringing

Guangtao Zhai, Weisi Lin, Jianfei Cai, Xiaokang Yang, Wenjun Zhang

Research output: Contribution to journalArticleResearchpeer-review

27 Citations (Scopus)

Abstract

The existing implementations of block-shift based filtering algorithms for deblocking are hard to achieve good smoothing performance and low computation complexity simultaneously due to their fixed block size and small shifting range. In this paper, we propose to integrate quadtree (QT) decomposition with the block-shift filtering for deblocking. By incorporating the QT decomposition, we can easily find the locations of uniform regions and determine the corresponding suitable block sizes. The variable block sizes generated by the QT decomposition facilitate the later block-shift filtering with low computational cost. In addition, large block based shift filtering can provide better deblocking results because the smoothing range of large blocks spans over the conventional 8 × 8 block size. Furthermore, we extend the proposed QT based block-shifting algorithm for deringing JPEG2000 coded images. Experimental results show the superior performance of our proposed algorithms.

Original languageEnglish
Pages (from-to)595-607
Number of pages13
JournalJournal of Visual Communication and Image Representation
Volume20
Issue number8
DOIs
Publication statusPublished - Nov 2009
Externally publishedYes

Keywords

  • Block-shift filtering
  • Image compression
  • Image deblocking
  • Image deringing
  • Image post-processing
  • Image restoration
  • Perceptual quality
  • Quadtree decomposition

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