Paper
1 May 1991 Evaluation of medical image compression by Gabor elementary functions
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mary S. Pastel, David G. Brown, and Murray H. Loew "Evaluation of medical image compression by Gabor elementary functions", Proc. SPIE 1444, Medical Imaging V: Image Capture, Formatting, and Display, (1 May 1991); https://doi.org/10.1117/12.45195
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KEYWORDS
Image compression

Liver

Medical imaging

Nuclear medicine

Image quality

Computer simulations

Convolution

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