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Vol. 169, Issue 4, April 2014, pp. 77-83




Blind Single-Image Super Resolution Reconstruction with Defocus Blur

Fengqing Qin, Lihong Zhu, Lilan Cao, Wanan Yang

Institute of Computer Science and Technology in Yibin University, Yibin, 644000, China

E-mail: qinfengqing@163.com, yibinwuyu@qq.com, 66243190@qq.com, ywaly@126.com



Received: 4 January 2014 /Accepted: 7 March 2014 /Published: 30 April 2014

Digital Sensors and Sensor Sysstems


Abstract: A blind single-image super resolution method is proposed to enhance the spatial resolution of the image with defocus blur. Firstly, according to the low resolution imaging model, a framework of blind single-image super resolution reconstruction is presented. Secondly, utilizing Wiener filtering algorithm, the error-parameter curve of the defocus blurred image was generated, through which the defocus radius was estimated approximately and automatically. Thirdly, the super resolution image is gained by iterative back projection algorithm. Experimental results showed that the defocus PSF was estimated with high precision, and justified the fact that the defocus blur estimation takes a great effect in blind single-image super resolution reconstruction.


Keywords: Single-image, Blind, Defocus blur, Iterative back projection, Wiener filter.


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