Name
Abstract | ||
|---|---|---|
This paper describes a low-complexity, high-efficiency lossy-to-lossless coding scheme for hyper-spectral images. Together with only a 2D wavelet transform on individual image components, the proposed scheme achieves coding performance similar to that achieved by a 3D transform strategy that adds one level of wavelet decomposition along the depth axis of the volume. The proposed schemes operates by means of a probability model for symbols emitted by the bit plane coding engine. This probability model captures the statistical behavior of hyper-spectral images with high precision. The proposed method is implemented in the core coding system of JPEG2000 reducing computational costs by 25%. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CCP.2011.10 | CCP |
Keywords | Field | DocType |
low complexity,core coding system,hyper-spectral image,high efficiency probability model,probability model,proposed scheme,computational cost,high precision,wavelet decomposition,hyper-spectral image coding,depth axis,bit plane,transform coding,jpeg2000,sensors,encoding,probability,wavelet transforms | Coding tree unit,Computer science,Transform coding,Theoretical computer science,Coding (social sciences),JPEG 2000,Harmonic Vector Excitation Coding,Context-adaptive binary arithmetic coding,Variable-length code,Wavelet transform | Conference |
ISBN | Citations | PageRank |
978-1-4577-1458-0 | 1 | 0.42 |
References | Authors | |
16 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesc Auli-Llinas | 1 | 42 | 10.68 |
| Joan Bartrina-Rapesta | 2 | 60 | 14.31 |
| Joan Serra-Sagrista | 3 | 89 | 9.59 |
| Michael W. Marcellin | 4 | 898 | 201.65 |