DOI | Resolve DOI: https://doi.org/10.1364/AO.22.002182 |
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Author | Search for: Abdelmalek, Nabih N.1 |
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Affiliation | - National Research Council of Canada
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Format | Text, Article |
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Abstract | A 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. |
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Publication date | 1983 |
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In | |
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Language | English |
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Peer reviewed | Yes |
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NRC number | NRCC 22621 |
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NPARC number | 21273696 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | d490b9eb-6dce-4645-b688-8690903736f6 |
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Record created | 2015-01-19 |
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Record modified | 2020-03-13 |
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