Share Email Print
cover

Proceedings Paper

Efficient wavelet compression for images of arbitrary size
Author(s): Kohei Murao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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)

© SPIE. Terms of Use
Back to Top