Parameter Identification of Blur Image Based on Image Gradient

被引：0

作者：

Peng Xujiao ^{[1
]}

Zhao Xia ^{[1
]}

Wang Zhengming ^{[1
]}

机构：

[1] Natl Univ Def Technol, Changsha, Hunan, Peoples R China

来源：

FIFTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2013) | 2014年 / 9069卷

关键词：

blue image; correlation coefficient; defocus blur; motion blur;

D O I：

10.1117/12.2050052

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Restoration of a degraded image from motion blurring is highly dependent on the estimation of the point spread function, which depends on the blur orientation and the blur extent. In this paper, we present a spectral analysis of image gradients, which has more strong periodic strips compare the spectrum of image. The experiments on simulated images show that our algorithm is capable of accurately identifying the blurring kernel for a wider range of blur orientation and blur extent. Furthermore, it's been proved to be more robust to noise over available techniques.

引用

页数：5

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