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Proceedings Paper

Evaluation of medical image compression by Gabor elementary functions
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Paper Abstract

Compression methods based on Gabor functions are implemented for simulated nuclear medicine liver images with and without simulated lesions. The quality of the compression schemes are assessed objectively by comparing the original images to the compressed images through calculation of the Hotelling trace, an index shown to track with human observers for images from this modality.1 For compression based on thresholding the complex Gabor coefficients, better than 2: 1 compression is obtained without significant degradation in image quality.

Paper Details

Date Published: 1 May 1991
PDF: 6 pages
Proc. SPIE 1444, Medical Imaging V: Image Capture, Formatting, and Display, (1 May 1991); doi: 10.1117/12.45195
Show Author Affiliations
Mary S. Pastel, Food and Drug Administration (United States)
David G. Brown, Food and Drug Administration (United States)
Murray H. Loew, George Washington Univ. (United States)


Published in SPIE Proceedings Vol. 1444:
Medical Imaging V: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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