Lossless image compression with progressive transmis- sion capabilities plays a key role in measurement applications, requir- ing quantitative analysis and involving large sets of images. This work proposes a wavelet-based compression scheme that is able to op- erate in the lossless mode. The quantization module implements a new technique for the coding of the wavelet coefficients that is more effective than the classical zerotree coding. The experimental results obtained on a set of multimodal medical images show that the pro- posed algorithm outperforms the embedded zerotree coder com- bined with the integer wavelet transform by 0.28 bpp, the set-parti- tioning coder by 0.1 bpp, and the lossless JPEG coder by 0.6 bpp.
展开▼
