Artifact reduction in low bit rate DCT-based image compression

Author

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

Author_Institution

Dept. of Electr. Eng., Rochester Univ., NY, USA

Volume

5

Issue

9

fYear

1996

fDate

9/1/1996 12:00:00 AM

Firstpage

1363

Lastpage

1368

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

Keywords

Markov processes; calibration; data compression; discrete cosine transforms; image coding; image reconstruction; iterative methods; optimisation; random processes; smoothing methods; transform coding; HMRF-based smoothing; artifact reduction; constrained optimization; gradient continuity constraints; improved Huber-Markov-random-field-based smoothing; low bit rate DCT-based image compression; low bit rate discrete-cosine-transform-compressed images; peak signal-to-noise ratio; reconstructions; visual quality; Bit rate; Decoding; Discrete cosine transforms; Image coding; Image reconstruction; Nonlinear filters; PSNR; Quantization; Smoothing methods; Very large scale integration;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.535848

Filename

535848