Deblocking technique for JPEG decoded image using wavelet transform modulus maxima representation

Tai Chiu Hsung, Pak Kong Lun, Wan Chi Siu

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

2 Citations (Scopus)

Abstract

In this paper, we introduce a local deblocking algorithm for JPEG decoded images using the Wavelet Transform modulus maxima (WTMM) representation. Under the WTMM representation, we can characterize the blocking effect as: 1) small modulus maxima at block boundaries over smooth regions; 2) noises or irregular structures near strong edges; 3) corrupted edges across block boundaries. The WTMM representation not only provides characterization of the blocking effect, but also enables simple and local operations on those singularities. The proposed algorithm first performs a segmentation to discriminate the texture regions of an image based on the WTMM local regularity variance. We then keep the modulus maxima or these regions, which are of low regularity variation, unchange to avoid the image texture being `over-smoothed' by the algorithm. Then, the singularities on the remaining regions of the blocky image and small modulus maxima at block boundaries are removed. And then, we link up the corrupted edges, and regularize the phase of modulus maxima as well as the amplitude of strong edges. Finally, the image is reconstructed using the projection onto convex set (POCS) technique on the processed WTMM of the JPEG decoded image. This simple algorithm improves the quality of JPEG decoded image in the sense of signal to noise ratio as well as visual quality. We also compare the performance of our algorithm with the previous approaches and show the superiority over them. The most remarkable Wantage of the WTMM deblocking algorithm is that it incorporates direct edges and texture operations into the WTMM representation.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
PublisherIEEE
Pages561-564
Number of pages4
Publication statusPublished - 1 Dec 1996
EventProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switzerland
Duration: 16 Sep 199619 Sep 1996

Conference

ConferenceProceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
CountrySwitzerland
CityLausanne
Period16/09/9619/09/96

ASJC Scopus subject areas

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

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