Defocus blurred image restoration by minimizing second-order central moment

Sheng Zhong; Mingzhi Jin; Luxin Yan

doi:10.1117/12.902002

8 December 2011 Defocus blurred image restoration by minimizing second-order central moment

Sheng Zhong, Mingzhi Jin, Luxin Yan

Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 80021C (2011) https://doi.org/10.1117/12.902002
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

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.

Citation Download Citation

Sheng Zhong, Mingzhi Jin, and Luxin Yan "Defocus blurred image restoration by minimizing second-order central moment", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 80021C (8 December 2011); https://doi.org/10.1117/12.902002

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