Abstract
The problem of blind estimation of motion blur parameters from a single image is addressed. The blur direction and extent of motion-blurred image, which are introduced by relative motion between a camera and its object scene, are needed in the methods of image restoration, such as blind deconvolution. As an extension to the fractional-order derivative, a noncausal fractional-order directional derivative operator is devised, which is robust to noise. Based on this new operator, a novel method identifying blur parameters is developed in this work. The performance comparison between the proposed method and the state-of-the-art method is also presented, demonstrating that the former provides better immunity to noise and capacity to identify motion blur extent, especially for large blur length.
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Acknowledgments
The work was supported by NSFC under Grants 61074161, 61034005, and 61102138, SRFDP under Grant 20103218120014, and by Funding of Jiangsu Innovation Program for Graduate Education under Grants CXLX12_0157 and CXZZ12_0158, and the Fundamental Research Funds for the Central Universities.
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Pan, X., Ye, Y., Wang, J. et al. Noncausal fractional directional differentiator and blind deconvoluation: motion blur estimation. Multimed Tools Appl 74, 4849–4872 (2015). https://doi.org/10.1007/s11042-013-1845-6
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DOI: https://doi.org/10.1007/s11042-013-1845-6