Deblocking algorithm for DCT-based compressed images using anisotropic diffusion

Euncheol Choi, Moon Gi Kang

Research output: Contribution to journalConference article

6 Citations (Scopus)

Abstract

Among many image compression approaches, the discrete cosine transform(DCT) is widely used. However, dividing an image into small blocks prior to coding causes "blocking artifacts". In this paper, deblocking algorithm for DCT-based compressed images using anisotropic diffusion, derived from ALM diffusion model is proposed. It can control the diffusion rate in the normal direction of the edges using "rate control parameter". It functions not only as an isotropic diffusion at block boundaries of smooth regions, but also an anisotropic diffusion that diffuses the image only in the normal direction of the edges at edges or block boundaries of texture regions. The rate control parameters at block boundaries are chosen carefully to reduce discontinuities. To avoid oversmoothing of the texture region, "speed parameter" is employed. The speed parameter makes diffusion process slow at the texture region, while makes it fast at the smooth region.

Original languageEnglish
Pages (from-to)717-720
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
Publication statusPublished - 2003 Sep 25
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 2003 Apr 62003 Apr 10

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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