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	Remote sensing image restoration using estimated point spread function (EI CONFERENCE)
	Yang L. ; Ren J.
	2010
会议名称	2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010
会议地点	Kunming, China
关键词	In order to reduce image blur caused by the degradation phenomenon in the imaging process the acquired images of the space remote sensing camera are restored. First the frequency-domain notch filter is adopted to remove strip noises in the images. Then degradation function which is referred to as the point spread function (PSF) of the imaging system is estimated using the knife-edge method. To improve the accuracy of the estimation the estimated PSF is adjusted with Gaussian fitting. Finally the images are restored by Wiener filtering with the fitted PSF. The restoration results of the remote sensing images show that almost all strip noises are eliminated by the notch filter. After denoising and restoration the variance of the remote sensing image worked with in this paper increases 30.979 and the gray mean gradient increases 3.312. Due to Gaussian fitting the accuracy of the PSF estimation is heightened. Image restoration with the final PSF is benefit to interpreting and analyzing the remote sensing images. After restoration the contrasts of the restored images are increased and the visual effects become clearer. 2010 IEEE.
页码	V148-V152
收录类别	EI
内容类型	会议论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/33961]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式 GB/T 7714	Yang L.,Ren J.. Remote sensing image restoration using estimated point spread function (EI CONFERENCE)[C]. 见:2010 International Conference on Information, Networking and Automation, ICINA 2010, October 17, 2010 - October 19, 2010. Kunming, China.

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