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Proceedings Paper

Statistical-based sub-band filtering technique for digital mammogram compression, enhancement, and denoise
Author(s): Hong-Dun Lin; Kang-Ping Lin; Shyh-Liang Lou
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Paper Abstract

Since the breast cancer is one of the major mortality increasing to middle-aged women, the digital mammograms are used to diagnose the breast cancer broadly. However, the digital mammography requires high spatial resolution and high gray-level resolution. These requirements result in very large image file sizes. Thus, the image transmission and image quality are very important problems in clinical diagnose. Several lossy image compression techniques have been developed to handle this issue. To improve these obstacles, we develop a statistical-based sub-band filtering technique for digital mammogram to increase the compression ratio and apply on the digital mammogram to enhance the disease part, and inhibit the noise in the image. By the way, the digital mammogram data can be compressed effectively and the image quality can also be improved conspicuously.

Paper Details

Date Published: 14 April 2000
PDF: 8 pages
Proc. SPIE 3981, Medical Imaging 2000: Image Perception and Performance, (14 April 2000); doi: 10.1117/12.383120
Show Author Affiliations
Hong-Dun Lin, Chung-Yuan Univ. (Taiwan)
Kang-Ping Lin, Chung-Yuan Univ. (Taiwan)
Shyh-Liang Lou, Univ. California/San Francisco (United States)


Published in SPIE Proceedings Vol. 3981:
Medical Imaging 2000: Image Perception and Performance
Elizabeth A. Krupinski, Editor(s)

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