Name
Abstract | ||
|---|---|---|
The methods which were adapted for the best basis selection optimise the decomposition by minimising the criterion cost function. This usually does not produce optimal rate–distortion (R–D) behaviour of the complete transform coder. This paper presents an extension of the well-known entropy-based best basis selection method titled entropy-threshold best basis selection. Using the threshold method, the criterion used in the original entropy-based method is strengthened and eliminates the portions of decomposition that are not cost effective. As the experiments illustrate, this new method exhibits great improvement in both R–D performance and simplified decomposition complexity. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1016/S0262-8856(00)00093-7 | Image and Vision Computing |
Keywords | Field | DocType |
Wavelet packets,Best basis,Entropy cost function,Decision threshold | Mathematical optimization,Best basis selection,Wavelet packet decomposition,Mathematics | Journal |
Volume | Issue | ISSN |
19 | 7 | 0262-8856 |
Citations | PageRank | References |
8 | 0.67 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Banjanin | 1 | 8 | 0.67 |
| B. Gergič | 2 | 15 | 1.65 |
| P. Planinšič | 3 | 27 | 7.70 |
| Ž. Čučej | 4 | 8 | 0.67 |