Title :
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
fDate :
9/1/1996 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
