1. Wavelet algorithms for deblurring models.
- Author
-
Ng, Michael K., Sze, C. K., and Yung, S. P.
- Subjects
- *
IMAGE reconstruction , *INFORMATION processing , *IMAGE processing , *STOCHASTIC convergence , *WAVELETS (Mathematics) , *ALGORITHMS , *IMAGING systems - 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 [ABSTRACT FROM AUTHOR]
- Published
- 2004
- Full Text
- View/download PDF