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 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.
Luo
J
J
Dept. of Electr. Eng., Rochester Univ., NY.
Chen
C W
CW
Parker
K J
KJ
Huang
T S
TS