Subband adaptive regularization method for removing blocking effect

Sung Wai Hong, Yuk Hee Chan, Wan Chi Siu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

20 Citations (Scopus)

Abstract

This paper presents two new approaches to remove blocking effect in low-bit rate transform coded images by using subband decomposition/reconstruction technique. They are designed to act as a supplementary post-processing step of the JPEG standard. Both approaches make use of the noise characteristic of each subband to bound the maximum tolerable error and the smoothness of the restored images in restoring subband images with regularization. One of them will also utilize the spatial activity of the restoring images to tighten the bounds. Computer simulations showed that the new adaptive objective functions could achieve a better restoration performance in terms of both subjective and objective measures than did other conventional objective functions.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages523-526
Number of pages4
Publication statusPublished - 1 Jan 1996
EventProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, United States
Duration: 23 Oct 199526 Oct 1995

Conference

ConferenceProceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3)
CountryUnited States
CityWashington, DC
Period23/10/9526/10/95

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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