Name
Abstract | ||
|---|---|---|
High quality, embedded, variable rate image compression can be achieved by decomposing an image into subbands of different sizes, modeling with one significant AM-FM component as well as encoding with a distinct procedure for each subband. In this paper, an adaptive subband decomposition using the modulated wavelet packet transform is proposed, where the adaptation of modulating frequencies is based on the energy spectral density in a resolution-recursive framework; and, each subband can be well represented by the modulated wavelets. An extension of SPIHT algorithm that is needed for encoding the complex-valued modulated wavelet coefficients is also presented. Experimental results show that the modulated wavelet subband image coding is preferable to both the wavelet coding and the JPEG standard. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.patrec.2004.09.046 | Pattern Recognition Letters |
Keywords | Field | DocType |
variable rate image compression,jpeg standard,adaptive modulated wavelet subband,subband coding,complex-valued modulated wavelet coefficient,modulated wavelet subband image,image coding,different size,modulated wavelet (packet) transform,spiht extension,spiht algorithm,modulated wavelet,modulated wavelet packet,wavelet coding,adaptive subband decomposition,wavelet packet transform,adaptive modulation,spectral density,variable rate,image compression | Computer vision,Pattern recognition,Second-generation wavelet transform,Discrete wavelet transform,Sub-band coding,Artificial intelligence,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Mathematics,Wavelet,Wavelet transform | Journal |
Volume | Issue | ISSN |
26 | 6 | Pattern Recognition Letters |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsi-Chin Hsin | 1 | 73 | 12.34 |