Adaptive constrained least square approach for removing blocking effect

Sung Wai Hong, Yuk Hee Chan, Wan Chi Siu

Research output: Journal article publicationConference articleAcademic researchpeer-review

4 Citations (Scopus)


This paper presents a new adaptive objective function based on the regularized iterative block reduction technique for low-bit rate transform coded images. Also, a better initial estimate for the regularization approach is presented. Two types of prior knowledge are used: the first type bounds the maximum tolerable error (roughness), and the second type restricts the high-frequency content (smoothness) of the restored images. Computer simulations showed that the new adaptive objective function with the proposed initial estimate performed better on both subjective and objective measures than did a previously proposed objective function.
Original languageEnglish
Pages (from-to)773-776
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Publication statusPublished - 1 Jan 1995
EventProceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, United States
Duration: 30 Apr 19953 May 1995

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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