✦ LIBER ✦

Wavelet algorithms for deblurring models

✍ Scribed by Michael K. Ng; C. K. Sze; S. P. Yung

Publisher: John Wiley and Sons
Year: 2004
Tongue: English
Weight: 262 KB
Volume: 14
Category: Article
ISSN: 0899-9457
DOI: 10.1002/ima.20014

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✦ Synopsis

Abstract

Blur removal is an important problem in signal and image processing. In this article, we formulate the deblurring problem within a wavelet framework and design a methodology to find deblurring filters. Using these deblurring filters, we derive an iterative deblurring algorithm and prove its convergence. Simulation results are reported to illustrate the proposed framework and methodology. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 14, 113–121, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20014

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