Wavelet algorithms for deblurring models

Michael K. Ng

doi:10.1002/ima.20014

2004-09-01

PRE

Michael K. Ng

Sze, CK

Siu Pang Yung

DOI：10.1002/ima.20014

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摘要

En 中文

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. (C) 2004 Wiley Periodicals, Inc.

Keyword:

deblurring

wavelets

block matrix

circulant matrix

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International Journal of Imaging Systems and Technology

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2.5

论文数:

2.1K

被引数:

2.3K

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