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Proceedings Paper

Efficient wavelet compression for images of arbitrary size
Author(s): Kohei Murao
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Paper Abstract

Wavelet compression for arbitrary size images is discussed. So far, wavelet compression has dealt with restricted size images, such as 2n X 2m. I propose practical and efficient methods of wavelet transform for arbitrary size images, i.e. method of extension to F (DOT) 2m and method of extension to even numbers at each decomposition. I applied them to 'Mona Lisa' with the size of 137 X 180. The two methods showed almost the same calculation time for both encoding and decoding. The encoding times were 0.83 s and 0.79 s, and the decoding times were 0.60 s and 0.57 s, respectively. The difference in bit-rates was attributed to the difference in the interpolation of the edge data of the image.

Paper Details

Date Published: 23 October 1996
PDF: 10 pages
Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); doi: 10.1117/12.255295
Show Author Affiliations
Kohei Murao, Fujitsu Labs. Ltd. (Japan)

Published in SPIE Proceedings Vol. 2825:
Wavelet Applications in Signal and Image Processing IV
Michael A. Unser; Akram Aldroubi; Andrew F. Laine, Editor(s)

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