Translator Disclaimer
Paper
15 May 2003 Deblurring using iterative multiplicative regularization technique
Author Affiliations +
Abstract
In this work a new deblurring algorithm for a special deconvolution problem, where a parameter describes the degree of blurring, is considered. The algorithm is based on the Conjugate Gradient technique and uses the so-called weighted L2-norm regularizer to obtain a reasonable solution. In order to avoid the necessity of determining the appropriate regularization parameter for this regularizer, this regularizer is included as a multiplicative constraint. In this way, the appropriate regularization parameter will be controlled by the inversion process itself. Numerical testing shows that the proposed algorithm works very effectively.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aria Abubakar, Peter M. van den Berg, Tarek M. Habashy, and Henning Braunisch "Deblurring using iterative multiplicative regularization technique", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480408
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
Back to Top