Successive structural analysis using wavelet transform for blocking artifacts suppression

Ngai Fong Law, W. C. Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)


A successive structural analysis using wavelet transform is proposed to remove the blocking artifacts associated with block-based coding techniques such as JPEG. The successive structural analysis is based on a study of the magnitude of the wavelet coefficients using a set of threshold values. This allows the structural information in an image and the information about the block boundaries to be separated into several classes. A metric is then used to quantify the quality of the reconstruction from each class. During reconstruction, only those classes that correspond to the structural information are retained while classes that correspond to the block boundaries are discarded. Simulation results show that our proposed algorithm can effectively suppress the blocking artifacts without over-smoothing the image details.
Original languageEnglish
Pages (from-to)1373-1387
Number of pages15
JournalSignal Processing
Issue number7
Publication statusPublished - 1 Jul 2001


  • Blocking artifacts suppression
  • Feature classification
  • Post-processing
  • Structural analysis
  • Wavelet transform

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


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