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CVPR
2008
IEEE

Motion blur identification from image gradients

14 years 16 days ago
Motion blur identification from image gradients
Restoration of a degraded image from motion blurring is highly dependent on the estimation of the blurring kernel. Most of the existing motion deblurring techniques model the blurring kernel with a shift-invariant box filter, which holds true only if the motion among images is of uniform velocity. In this paper, we present a spectral analysis of image gradients, which leads to a better configuration for identifying the blurring kernel of more general motion types (uniform velocity motion, accelerated motion and vibration). Furthermore, we introduce a hybrid Fourier-Radon transform to estimate the parameters of the blurring kernel with improved robustness to noise over available techniques. The experiments on both simulated images and real images show that our algorithm is capable of accurately identifying the blurring kernel for a wider range of motion types.
Hui Ji, Chaoqiang Liu
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2008
Where CVPR
Authors Hui Ji, Chaoqiang Liu
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