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Proceedings Paper

Edge-localized image sharpening via reassignment with application to computed tomography
Author(s): Timothy Dorney; Srikrishna Bhashyam; Andrew Doran; Hyeokho Choi; Patrick Flandrin; Richard G. Baraniuk
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Paper Abstract

Traditional filtering methods operate on the entire signal or image. In some applications, however, errors are concentrated in specific regions or features. A prime example is images generated using computed tomography. Practical implementations limit the amount of high frequency content in the reconstructed image, and consequently, edges are blurred. We introduce a new post-reconstruction edge enhancement algorithm, based on the reassignment principle and wavelets, that localizes its sharpening exclusively to edge features. Our method enhances edges without disturbing the low frequency textural details.

Paper Details

Date Published: 4 October 2000
PDF: 10 pages
Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); doi: 10.1117/12.402443
Show Author Affiliations
Timothy Dorney, Rice Univ. (United States)
Srikrishna Bhashyam, Rice Univ. (United States)
Andrew Doran, Rice Univ. (United States)
Hyeokho Choi, Rice Univ. (United States)
Patrick Flandrin, Ecole Normale Superieure de Lyon (France)
Richard G. Baraniuk, Rice Univ. (United States)

Published in SPIE Proceedings Vol. 4121:
Mathematical Modeling, Estimation, and Imaging
David C. Wilson; Hemant D. Tagare; Fred L. Bookstein; Francoise J. Preteux; Edward R. Dougherty, Editor(s)

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