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Blind nonuniform deblur under projection motion path

[+] Author Affiliations
Xin Zhang

Tsinghua University, Department of Computer Science and Technology, State Key Lab of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China

Fuchun Sun

Tsinghua University, Department of Computer Science and Technology, State Key Lab of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Beijing 100084, China

J. Electron. Imaging. 22(3), 033034 (Sep 26, 2013). doi:10.1117/1.JEI.22.3.033034
History: Received April 20, 2012; Revised March 22, 2013; Accepted August 29, 2013
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Abstract.  We address how to recover a blurred image with nonuniform blur kernel when the camera moves with a constant velocity in front of a static scene. We modeled the blur kernel as a series of parameterized projective transform matrices and the blurred image as an integration of the distorted clear image sequences. By formulating the problem as a convex optimization algorithm, this problem using gradient descent algorithm can be solved. In particular, we show how to incorporate the camera’s constant movements into the projection model. By doing so, the previous nonblind nonuniform projective motion path model is changed into a blind nonuniform model. The effectiveness of our method is demonstrated by conducting experimental comparisons with other popular image deblur algorithms.

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Citation

Xin Zhang and Fuchun Sun
"Blind nonuniform deblur under projection motion path", J. Electron. Imaging. 22(3), 033034 (Sep 26, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.3.033034


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