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 language | English (US) |
|---|---|
| Pages (from-to) | 1363-1368 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Image Processing |
| Volume | 5 |
| Issue number | 9 |
| DOIs | |
| State | Published - 1996 |
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design