Artifact reduction in low bit rate DCT-based image compression

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 appl...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 5(1996), 9 vom: 15., Seite 1363-8
1. Verfasser: Luo, J (VerfasserIn)
Weitere Verfasser: Chen, C W, Parker, K J, Huang, T S
Format: Aufsatz
Sprache:English
Veröffentlicht: 1996
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article
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245 1 0 |a Artifact reduction in low bit rate DCT-based image compression 
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520 |a 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 
650 4 |a Journal Article 
700 1 |a Chen, C W  |e verfasserin  |4 aut 
700 1 |a Parker, K J  |e verfasserin  |4 aut 
700 1 |a Huang, T S  |e verfasserin  |4 aut 
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