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Multiple resolution image restoration
journal contribution
posted on 2023-05-16, 10:45 authored by Liew, AWE, Law, NF, Nguyen, TA 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 ProcessingVolume
144Issue
4Pagination
199-206ISSN
1350-245XDepartment/School
School of EngineeringPublisher
Iee-Inst Elec EngPlace of publication
Michael Faraday House Six Hills Way Stevenage, Hertford, England, Sg1 2AyRepository Status
- Restricted