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Proceedings Paper

Region-of-interest-based transmission protocol for wavelet-compressed medical images
Author(s): Tsaifa Yu; Nai-wen Lin; Steve J. Liu; Andrew K. Chan
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Paper Abstract

This paper describes a communication protocol for interactive image exchange on using only a region of interest (ROI) in an image. This protocol uses a wavelet tree coder to handle large image sizes. It provides a means for convenient storage and retrieval of medical images in a digitized format. Because of the narrow bandwidth of telecommunications networks, lossy image compression is necessary for fast image transmission at low cost. In many applications, only a small portion of a large medical image is of interest to the user. It is unnecessary and unwise to treat all image pixels equally. Insignificant areas should be highly compressed to minimize the total number of bits, thereby reducing transmission time and costs without losing the diagnostic quality of the image. This communication protocol is designed for users who wish to interact with one another and exchange images selectively. In this protocol, images are compressed and decompressed from the most important ROIs. The protocol progressively improves the image quality based on the users' chosen criteria. The compression and decompression processes can be stopped at any time to provide sufficient diagnostic information at the lowest possible cost. We have implemented and tested this algorithm on an image that has been compressed using a generalized self-similarity tree.

Paper Details

Date Published: 3 April 1997
PDF: 9 pages
Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); doi: 10.1117/12.271755
Show Author Affiliations
Tsaifa Yu, Texas A&M Univ. (United States)
Nai-wen Lin, Texas A&M Univ. (United States)
Steve J. Liu, Texas A&M Univ. (United States)
Andrew K. Chan, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 3078:
Wavelet Applications IV
Harold H. Szu, Editor(s)

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