Edge-localized image sharpening via reassignment with application to computed tomography

Timothy Dorney; Srikrishna Bhashyam; Andrew Doran; Hyeokho Choi; Patrick Flandrin; Richard G. Baraniuk

doi:10.1117/12.402443

4 October 2000 Edge-localized image sharpening via reassignment with application to computed tomography

Timothy Dorney, Srikrishna Bhashyam, Andrew Doran, Hyeokho Choi, Patrick Flandrin, Richard G. Baraniuk

Proceedings Volume 4121, Mathematical Modeling, Estimation, and Imaging; (2000) https://doi.org/10.1117/12.402443
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

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.

Citation Download Citation

Timothy Dorney, Srikrishna Bhashyam, Andrew Doran, Hyeokho Choi, Patrick Flandrin, and 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); https://doi.org/10.1117/12.402443

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