Tchebichef moment based restoration of Gaussian blurred images
With the knowledge of how edges vary in the presence of a Gaussian blur, a method that uses low-order Tchebichef moments is proposed to estimate the blur parameters: sigma (�) and size (w). The difference between the Tchebichef moments of the original and the reblurred images is used as feature vec...
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Main Authors: | , , , |
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Format: | Article |
Published: |
OSA - The Optical Society
2016
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995503348&doi=10.1364%2fAO.55.009006&partnerID=40&md5=3e9dd3a58e59e17482c3e80e80ccdeb5 http://eprints.utp.edu.my/25702/ |
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