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Proceedings Paper

Wavelet image compression algorithm for side-scan sonar and teleradiology
Author(s): John Impagliazzo; Walter Greene; Quyen Q. Huynh
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Paper Abstract

This wavelet based data compression algorithm addresses a growing need to handle large quantities of image data quickly and efficiently. This wavelet technique has been coded based on the assumption that small coefficients computed by the two-dimensional orthogonal wavelet transform are principally associated with image noise, and only the largest values are required to capture the information content of the respective source image. The approach has been successfully applied to one-dimensional signals in the design of signal classifiers. This particular algorithm for wavelet-based image compression has been designed and compared to the Joint Photographic Expert Group (JPEG) still picture image compression standard. Examples are shown of side scan sonar images, x rays, and laser line scan images.

Paper Details

Date Published: 6 April 1995
PDF: 11 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205383
Show Author Affiliations
John Impagliazzo, Naval Undersea Warfare Ctr. (United States)
Walter Greene, Naval Undersea Warfare Ctr. (United States)
Quyen Q. Huynh, Naval Undersea Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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