Title :
Improved Class-Based Coding of Multispectral Images With Shape-Adaptive Wavelet Transform
Author :
Cagnazzo, M. ; Parrilli, S. ; Poggi, G. ; Verdoliva, L.
Abstract :
In this letter, we improve the class-based transform-coding scheme proposed by Gelli and Poggi for the compression of multispectral images. The original spatial-coding tools, 1-D discrete cosine transform and scalar quantization, are replaced by shape-adaptive wavelet transform and set partitioning in hierarchical trees. Numerical experiments show that the improved technique outperforms the original one for medium- to high-quality compression and is consistently superior to all reference techniques.
Keywords :
data compression; discrete cosine transforms; image classification; image coding; wavelet transforms; 1D discrete cosine transform; class-based coding; image compression; multispectral images; scalar quantization; shape-adaptive wavelet transform; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image segmentation; Image storage; Multispectral imaging; Quantization; Rate-distortion; Statistics; Wavelet transforms; Compression; multispectral; segmentation; shape-adaptive wavelet transform (SAWT);
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2007.900696
