Defocus blur parameter estimation method based on blur spectrum characteristic of image edge
LIANG Min1,2,ZHU Hong1
1. Faculty of Automation and Information Engineering, Xi'an University of Technology, Xi'an Shaanxi 710048, China
2. School of Information Management, Shanxi University of Finance and Economics, Taiyuan Shanxi 030031, China
The accurate estimation of the Point Spread Function (PSF) is the key point in image restoration. For the unknown PSF parameter of defocus blur, an estimation method was proposed based on blur spectrum characteristic of image edge. Specifically, the blur spectrum feature of basic edge was analyzed, and then the edge model of natural image was treated as reference image. Furthermore, the max spectrum similarity was analyzed to obtain the right parameter between the image to be restored and the blurred reference image with defocus parameter in a continuous range. The experimental results show that the proposed algorithm suits large scale defocus blur images and has strong anti-noise ability.
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2014, Vol. 34 
