Restoration of images with missing high-frequency components using quadratic programming

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DOIResolve DOI: http://doi.org/10.1364/AO.22.002182
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TypeArticle
Journal titleApplied Optics
ISSN1559-128X
Volume22
Issue14
Pages21822188; # of pages: 7
AbstractA method for restoring an optical image which is subjected to low-pass frequency filtering is presented. It is assumed that the object whose image is restored is of finite spatial extent. The problem is treated as an algebraic image-restoration problem which is then solved as a quadratic programming problem with bounded variables. The regularization technique for the ill-posed system is to replace the consistent system of the quadratic programming problem by an approximate system of smaller rank. The rank which gives a best or near-best solution is estimated. This method is a novel one, and it compares favorably with other known methods. Computer-simulated examples are presented. Comments and conclusions are given.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada
Peer reviewedYes
NRC number22621
NPARC number21273696
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Record identifierd490b9eb-6dce-4645-b688-8690903736f6
Record created2015-01-19
Record modified2016-05-09
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