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Multiple resolution image restoration

journal contribution
posted on 2023-05-16, 10:45 authored by Liew, AWE, Law, NF, Nguyen, T
A new algorithm for solving the deconvolution problem is proposed. This algorithm uses the wavelet transform to induce a multiresolution approach to deconvolve a blurred signal/image. The low resolution part of a signal/ image is restored first and then high resolution information is added successively into the estimation process. Two 'different ways to incorporate the image space positivity constraint, namely loosely and strictly, are discussed. In contrast to most restoration algorithms, the positivity constraint is applied directly in the transformed domain. The performance of the algorithm in the presence of noise is also investigated. © lEE, 1997.

History

Publication title

IEE Proceedings-Vision, Image and Signal Processing

Volume

144

Issue

4

Pagination

199-206

ISSN

1350-245X

Department/School

School of Engineering

Publisher

Iee-Inst Elec Eng

Place of publication

Michael Faraday House Six Hills Way Stevenage, Hertford, England, Sg1 2Ay

Repository Status

  • Restricted

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