• Optics and Precision Engineering
  • Vol. 17, Issue 5, 1119 (2009)
ZHANG Yu-ye1,2,*, ZHOU Xiao-dong2, and WANG Chun-xin2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    ZHANG Yu-ye, ZHOU Xiao-dong, WANG Chun-xin. Space-variant blurred image restoration based on pixel motion-blur character segmentation[J]. Optics and Precision Engineering, 2009, 17(5): 1119 Copy Citation Text show less

    Abstract

    An image restoration method based on pixel motion-blur character image segmentation is presented to restore a kind of space-variant blurred image taken by a moving camera. According to the convolution of motion blur,the motion characteristics of a target and a background and the shift superposition theory are analyzed. It is concluded that the gray changes of neighboring pixels within a superposition region are similar. According to the feature,the blurred edge of the target in the superposition region can be detected,and the target edge parallel to the motion blur direction is detected by a Canny operator. Then the background information of the superposition region is subtracted from the target image,and the target image is restored by adding zeros and a deconvolution algorithm. The experimental results show that the restored target image has clear textures and the improved Signal-to-Noise Ratio (SNR) is 9.64 dB,which shows proposed approach can effectively realize the restoration for this kind of space-variant motion blurred image.
    ZHANG Yu-ye, ZHOU Xiao-dong, WANG Chun-xin. Space-variant blurred image restoration based on pixel motion-blur character segmentation[J]. Optics and Precision Engineering, 2009, 17(5): 1119
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