Digital Image Restoration

Basic infomation
Authors: Mark R BanhamAggelos K Katsaggelos
Published in: IEEE Signal Processing Magazine
Year: 1997   
DOI: 10.1109/79.581363
Citations: 331
EI: NO
Abstract:
the article introduces digital image restoration to the reader who is just beginning in this field , and provides a review and analysis for the reader who may already be well versed in image restoration the perspective on the topic is one that comes primarily from work done in the field of signal processing thus , many of the techniques and works cited relate to classical signal processing approaches to estimation theory , filtering , and numerical analysis in particular , the emphasis is placed primarily on digital image restoration algorithms that grow out of an area known as regularized least squares methods it should be noted , however , that digital image restoration is a very broad field , as we discuss , and thus contains many other successful approaches that have been developed from different perspectives , such as optics , astronomy , and medical imaging , just to name a few in the process of reviewing this topic , we address a number of very important issues in this field that are not typically discussed in the technical literature
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