Artifact reduction in low bit rate DCT-based image compression

Jiebo Luo, Chang Wen Chen, Kevin J. Parker, Thomas S. Huang

Research output: Contribution to journalArticlepeer-review

Abstract

This correspondence presents a scheme for artifact reduction of low bit rate discrete-cosine-transform-compressed (DCT-compressed) images. First, the DC coefficients are calibrated using gradient continuity constraints. Then, an improved Huber-Markov-random-field-based (HMRF-based) smoothing is applied. The constrained optimization is implemented by the iterative conditional mode (ICM). Final reconstructions of typical images with improvements in both visual quality and peak signal-to-noise ratio (PSNR) are also shown.

Original languageEnglish (US)
Pages (from-to)1363-1368
Number of pages6
JournalIEEE Transactions on Image Processing
Volume5
Issue number9
DOIs
StatePublished - Dec 1 1996

ASJC Scopus subject areas

  • Software
  • Computer Graphics and Computer-Aided Design

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