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%.
|Original language||American English|
|Number of pages||7|
|Journal||Proceedings - 1st International Conference on Data Compression, Communication, and Processing, CCP 2011|
|Publication status||Published - 2011|
- bitplane image coding
- Hyper-spectral image coding