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Real-time restoration algorithm based on one-dimensional Wiener filters for different rates of image motion blur

[+] Author Affiliations
Shi Li

Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun 130033, China and Graduate School of the Chinese Academy of Sciences, Beijing 100039, China

Bao Zhang

Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun 130033, China

Hui Sun

Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun 130033, China

J. Electron. Imaging. 18(2), 023005 (April 29, 2009). doi:10.1117/1.3125982
History: Received May 25, 2008; Revised February 09, 2009; Accepted March 23, 2009; Published April 29, 2009
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To eliminate side-oblique image motion, a fast image algorithm is proposed for implementation on aerial camera systems. When an aerial camera works at a side-oblique angle, much parallel image motion with different rates will occur on the focal plane array simultaneously. Through analysis of how different rates of parallel image motion blur are generated and the relationship between image motion and the field of view (FOV) angle in side-oblique situations, the entire blurred image can be segmented into many slices by their different rates of image motion. To be computed quickly, the slices are divided into pixel lines continuously, and then a specific parallel computing scheme is presented using 1-D Wiener filters to restore all the pixel lines. With all the resulting pixel lines combined, the restoration image comes into being. The experiment results show that the proposed algorithm can effectively restore the details of side-oblique blurred images. The peak signal-to-noise ratio (PSNR) of the restored image can reach 31.426. With the help of the parallel computing capability of a graphics processing unit (GPU), the proposed algorithm can restore a 2048×20488-bit blurred image in 17ms, realizing real-time restoration.

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© 2009 SPIE and IS&T

Citation

Shi Li ; Bao Zhang and Hui Sun
"Real-time restoration algorithm based on one-dimensional Wiener filters for different rates of image motion blur", J. Electron. Imaging. 18(2), 023005 (April 29, 2009). ; http://dx.doi.org/10.1117/1.3125982


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