DocumentCode
1574335
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
Volume
1
fYear
1997
Firstpage
612
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.647987
Filename
647987
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