Name
Abstract | ||
|---|---|---|
In this paper, a new binary arithmetic coding strategy with adaptive-weight context classification is introduced to solve the context dilution and context quantization problems for bitplane coding. In our method, the weight, obtained using a regressive-prediction algorithm, represents the degree of importance of the current coefficient/block in the wavelet transform domain. Regarding the weights as contexts, the coder reduces the context number by classifying the weights using the Lloyd-Max algorithm, such that high-order is approximated as low-order context arithmetic coding. The experimental results show that our method effectively improves the arithmetic coding performance and outperforms the compression performances of SPECK, SPIHT and JPEG2000. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.image.2013.04.004 | Sig. Proc.: Image Comm. |
Keywords | Field | DocType |
adaptive weight-context classification,context dilution,lloyd-max algorithm,new binary arithmetic,bitplane coding,context number,image compression,adaptive-weight context classification,compression performance,regressive-prediction algorithm,low-order context arithmetic coding,context quantization problem,weight,adaptive | Pattern recognition,Context-adaptive variable-length coding,Computer science,Range encoding,Theoretical computer science,Huffman coding,Artificial intelligence,Shannon–Fano coding,Quantization (signal processing),Arithmetic coding,Variable-length code,Context-adaptive binary arithmetic coding | Journal |
Volume | Issue | ISSN |
28 | 7 | 0923-5965 |
Citations | PageRank | References |
6 | 0.45 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaji Wu | 1 | 137 | 22.60 |
| Zhenzhen Xu | 2 | 80 | 11.66 |
| Gwanggil Jeon | 3 | 596 | 117.99 |
| Xiangrong Zhang | 4 | 493 | 48.70 |
| Licheng Jiao | 5 | 5698 | 475.84 |