4 October 2000 Edge-localized image sharpening via reassignment with application to computed tomography
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Timothy Dorney, Timothy Dorney, Srikrishna Bhashyam, Srikrishna Bhashyam, Andrew Doran, Andrew Doran, Hyeokho Choi, Hyeokho Choi, Patrick Flandrin, Patrick Flandrin, Richard G. Baraniuk, Richard G. Baraniuk, } "Edge-localized image sharpening via reassignment with application to computed tomography", Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); doi: 10.1117/12.402443; https://doi.org/10.1117/12.402443
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT


Back to Top