ICIP 2006, Atlanta, GA

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Paper Detail

Session:Deblurring and Image Restoration
Time:Monday, October 9, 14:20 - 14:40
Presentation: Lecture
Topic: Image & Video Restoration and Enhancement: Deblurring
Authors: Hao Hu; Eindhoven University of Technology 
 Gerard de Haan; Philips Research Laboratories 
Abstract: In this paper a novel local blur estimation method is presented. The focal blur process is usually modeled as a Gaussian low-pass filtering and then the problem of blur estimation is to identify the Gaussian blur kernel. In the proposed method, the blurred input image is first re-blurred by Gaussian blur kernels with different blur radii. Then the difference ratios between the multiple re-blurred images and the input image are used to determine the unknown blur radius. We show that the proposed method does not require edge detection preprocessing and can estimate a wide range of blur radius. Experimental results of the proposed method on both synthetic and natural images and a comparison with a state-of-the-art method are presented.