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Proceedings Paper

Performance comparison of fundamental anisotropic diffusion algorithms
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Paper Abstract

Anisotropic diffusion (AD), first introduced by Perona and Malik (PM), provides image enhancement a strong benefit as it favors intra-region over inter-region smoothing. Early updates on the original PM algorithm focused on the cures for its drawbacks. Later some authors provided their own versions of AD techniques with a wide variety of applications. We surveyed the pros and cons of many fundamental AD techniques. To put our purpose into perspective, we compared the performances of fundamental AD algorithms to simple traditional filters and to more sophisticated tools such as wavelets. Visual inspection and two mathematical criteria are used for performance comparison: Signal-to-noise ratio (SNR) and universal image quality index (UIQI). We believe that a good overview of its simplicity and power will show the rightful reason of so much interest in anisotropic diffusion since its introduction.

Paper Details

Date Published: 12 May 2004
PDF: 7 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.536107
Show Author Affiliations
Bulent Bayraktar, Purdue Univ. (United States)
Mostafa Analoui, Pfizer Global Research and Development (United States)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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