Image denoising using wavelet transform modulus sum

Pak Kong Lun, Tai Chiu Hsung

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

9 Citations (Scopus)


For conventional MPEG-1 video decoding, one of the major sources of noise appeared in the decoded image sequence is the blocking effect, which is incurred by the quantization errors of the image blocks of the key frames. Recently, the wavelet transform modulus maxima (WTMM) approach was proposed to significantly reduce the blocking effect of the decoded image sequence. This algorithm improves the quality of the decoded image sequence in the senses of signal to noise ratio as well as visual quality. Nonetheless, the WTMM deblocking algorithm is an iterative algorithm that requires a long computation time to reconstruct the processed WTMM to obtain the deblocked image. In this paper, another wavelet based deblocking algorithm is studied. The algorithm has the advantage as the WTMM approach that it can effectively identify the edges and the smooth regions of an image irrespective the discontinuities introduced by the blocking effect. It improves over the WTMM approach in that only a simple inverse wavelet transform is required to reconstruct the processed wavelet coefficients to obtain the deblocked image sequence.
Original languageEnglish
Title of host publicationInternational Conference on Signal Processing Proceedings, ICSP
Number of pages4
Publication statusPublished - 1 Dec 1998
EventProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China
Duration: 12 Oct 199816 Oct 1998


ConferenceProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98

ASJC Scopus subject areas

  • Signal Processing


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