Name
Abstract | ||
|---|---|---|
We consider the lossy image compression problem and propose a model-residual approach. Polynomial basis images encode the model image and powerful new trellis codes quantize the residual part. A simple bit allocation scheme determines the residual bit rates and a variety of rates are attainable without entropy coding. The trellis structure is also used to form a joint source and channel coding scheme for the residual components. Results are shown for the 0.4-1.6 bits per pixel region. Comparisons are made to several state-of-the-art techniques and show that the proposed scheme is very competitive. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/DCC.2006.80 | DCC |
Keywords | Field | DocType |
combined source-channel coding,image coding,image resolution,trellis codes,variable rate codes,bit allocation scheme,joint source and channel coding scheme,lossy image compression problem,model-residual approach,noisy channels,residual image coding,trellis based variable rate coding,Image coding,Joint source and channel coding.,Model-residual approach,Trellis quantization | Trellis modulation,Residual,Entropy encoding,Computer science,Theoretical computer science,Color depth,Space–time trellis code,Trellis quantization,Data compression,Joint source and channel coding | Conference |
ISSN | ISBN | Citations |
1068-0314 | 0-7695-2545-8 | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomas Eriksson | 1 | 14 | 4.22 |
| Norbert Goertz | 2 | 316 | 28.94 |
| Mirek Novak | 3 | 7 | 2.98 |
| J. B. Anderson | 4 | 821 | 89.19 |