Name
Abstract | ||
|---|---|---|
Embedded zero-tree image coding in wavelet domain has drawn a lot of attention. Among noteworthy algorithms is the set partitioning in hierarchical trees (SPIHT). Typically, most of images' energy is concentrated in low frequency subbands. For an image with textures, however many middle-high frequency wavelet coefficients are likely to become significant in the early passes of SPIHT; thus the coding results are often insufficient. Middle and high frequency subbands of images may demand further decompositions using adaptive basis functions. As wavelet packet transform offers a great diversity of basis functions, we propose a quad-tree based adaptive wavelet packet transform to construct adaptive wavelet packet trees for zero-tree image coding. Experimental results show that coding performances can be significantly improved especially for fingerprints images. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietfec/e91-a.9.2655 | IEICE Transactions |
Keywords | Field | DocType |
middle-high frequency wavelet coefficient,coding result,adaptive wavelet packet tree,wavelet packets,wavelet packet,adaptive wavelet packet,zero-tree image coding,fingerprints image,adaptive selection,quad-tree image coding,adaptive basis function,wavelet domain,coding performance,set partitioning in hierarchical trees,wavelet packet transform,high frequency,low frequency,spiht | Set partitioning in hierarchical trees,Lifting scheme,Second-generation wavelet transform,Theoretical computer science,Discrete wavelet transform,Stationary wavelet transform,Wavelet packet decomposition,Mathematics,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
E91-A | 9 | 0916-8508 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsi-Chin Hsin | 1 | 73 | 12.34 |
| Tze-yun Sung | 2 | 49 | 10.67 |