Title :
Embedded zerotree wavelet coding of multispectral images
Author :
Amato, Fabio ; Galdi, Carmela ; Poggi, Giovanni
Author_Institution :
Dipt. di Ingegneria Elettronica, Univ. Federico II di Napoli, Italy
Abstract :
We propose two algorithms based on the embedded zerotree wavelet approach to encode multispectral images. The Said-Pearlman algorithm is adapted to the case of multispectral images by considering spectral vectors of pixels rather than isolated pixels and by carrying out either VQ or KLT on these vectors, so as to take into account interband dependencies. Numerical experiments on a sample multispectral image show a very good performance for both algorithms
Keywords :
image coding; transform coding; transforms; trees (mathematics); vector quantisation; wavelet transforms; KLT; Karhunen-Loeve transform; Said-Pearlman algorithm; VQ; algorithms; embedded zerotree wavelet coding; encoding; interband dependencies; multispectral images; performance; spectral vectors; Discrete cosine transforms; Geology; Image coding; Image sensors; Karhunen-Loeve transforms; Meteorology; Multispectral imaging; Pixel; Pollution; Remote monitoring;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647987
