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Proceedings Paper

Defocus blurred image restoration by minimizing second-order central moment
Author(s): Sheng Zhong; Mingzhi Jin; Luxin Yan
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Paper Abstract

A new blur identification and restoration method is presented. We observe that blurring increases the second-order central moment (SOCM) of image and introduce a new parametric blur identification method by minimizing SOCM. The method applied to finite support images, in which the scene consists of a finite extent object against a uniformly black, grey or white background. The method has been validated by direct comparisons with other methods on simulated images. Our experiments show that the SOCM minimization measurements match well with methods than maximize PSNR.

Paper Details

Date Published: 8 December 2011
PDF: 7 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021C (8 December 2011); doi: 10.1117/12.902002
Show Author Affiliations
Sheng Zhong, Huazhong Univ. of Science and Technology (China)
Mingzhi Jin, Huazhong Univ. of Science and Technology (China)
Luxin Yan, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)

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