Wavelet algorithms for deblurring models | Zendy

Ng Michael K. | Zendy; Sze C. K. | Zendy; Yung S. P. | Zendy

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Wavelet algorithms for deblurring models

Author(s) -

Ng Michael K.,

Sze C. K.,

Yung S. P.

Publication year - 2004

Publication title -

international journal of imaging systems and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.359

H-Index - 47

eISSN - 1098-1098

pISSN - 0899-9457

DOI - 10.1002/ima.20014

Subject(s) - deblurring , algorithm , computer science , convergence (economics) , wavelet , image restoration , image (mathematics) , wavelet transform , artificial intelligence , image processing , economic growth , economics

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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