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Proceedings Paper

Discussion on the optimal deconvolution for electro-optical imaging systems
Author(s): Jiantao Peng; Jianyue Ren
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Paper Abstract

Ringing Artifacts are the most challenging problem in image restoration. However, the source of ringing is still in suspense. This paper investigates the source of ringing by focusing on the mathematical principle of deconvolution with the degraded model. From continuous sampling to undersampling, the essential causes of ringing appearance are discussed through theoretical derivation and quantitative analysis. Based upon the discussion above, the optimal deconvolution for electro-optical imaging systems is put forward to achieve ideal balance between ringing suppression and sharpness enhancement. Comparison results show the superiority of the proposed optimal filters.

Paper Details

Date Published: 24 October 2017
PDF: 7 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620L (24 October 2017); doi: 10.1117/12.2282450
Show Author Affiliations
Jiantao Peng, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Univ. of Chinese Academy of Sciences (China)
Jianyue Ren, Changchun Institute of Optics, Fine Mechanics and Physics (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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