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Improved POCS-Based Deblocking Technique Using Wavelet Transform in Block Coded Image

  • Goo-Rak Kwon
  • Hyo-Kak Kim
  • Chun-Soo Park
  • Yoon Kim
  • Sung-Jea Ko
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4261)

Abstract

This paper presents a improved POCS-based deblocking technique, based on the theory of the projection onto convex sets (POCS) to reduce the blocking artifacts in decoded images. We propose a new smoothness constraint set (SCS) and its projection operator in the wave-let transform (WT) domain to remove unnecessary high-frequency components caused by blocking artifacts. In order to eliminate the blocking artifacts component while preserving the original edge component, we also propose a significant coefficient decision method (SCDM)for fast and efficient performance. Experimental results show that the proposed method can not only achieve a significantly enhanced subjective quality but also increase the PSNR improvement in the reconstructed image.

Keywords

Projection Operator Discrete Wavelet Transform Wavelet Transform Subjective Quality Image Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Goo-Rak Kwon
    • 1
  • Hyo-Kak Kim
    • 1
  • Chun-Soo Park
    • 1
  • Yoon Kim
    • 2
  • Sung-Jea Ko
    • 1
  1. 1.Department of Electronics EngineeringKorea UniversitySeoulKorea
  2. 2.Department of Electrical and Computer EngineeringKangwon national UniversityChunchonKorea

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