Efficient wavelet compression for images of arbitrary size

Kohei Murao

doi:10.1117/12.255295

23 October 1996 Efficient wavelet compression for images of arbitrary size

Kohei Murao

Proceedings Volume 2825, Wavelet Applications in Signal and Image Processing IV; (1996) https://doi.org/10.1117/12.255295
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Wavelet compression for arbitrary size images is discussed. So far, wavelet compression has dealt with restricted size images, such as 2ⁿ X 2^m. I propose practical and efficient methods of wavelet transform for arbitrary size images, i.e. method of extension to F (DOT) 2^m 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.

Citation Download Citation

Kohei Murao "Efficient wavelet compression for images of arbitrary size", Proc. SPIE 2825, Wavelet Applications in Signal and Image Processing IV, (23 October 1996); https://doi.org/10.1117/12.255295

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