Volume 6 Issue 6
Dec.  2013
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CAO Hai-xia, Bayaiheshig, CUI Ji-cheng, ZHANG Yong-chao. Forward image motion compensation of hyper spectral image based on image restoration[J]. Chinese Optics, 2013, 6(6): 856-862. doi: 10.3788/CO.20130606.856
Citation: CAO Hai-xia, Bayaiheshig, CUI Ji-cheng, ZHANG Yong-chao. Forward image motion compensation of hyper spectral image based on image restoration[J]. Chinese Optics, 2013, 6(6): 856-862. doi: 10.3788/CO.20130606.856

Forward image motion compensation of hyper spectral image based on image restoration

doi: 10.3788/CO.20130606.856
  • Received Date: 12 Oct 2013
  • Rev Recd Date: 29 Nov 2013
  • Publish Date: 10 Dec 2013
  • To improve the image resolution of a hyper spectral image, an image motion compensation algorithm was proposed. The mechanisms of image degradation caused by forward image motion were analyzed and a digital Image Motion Compensation(IMC) was adopted to restore the blurred image. Then, the Point Spread Function(PSF) and noise power were estimated, and the improved algorithm of Wiener filtering was selected to restore the blurred image. By taking the average absolute error and the peak signal to noise ratio as the evaluation criteria, the proved experiments were performed. Experimental results under the known quality of PSF and noise power show that the absolute average error of the image for improved Wiener filtering algorithm decreases by 9.31% and the peak signal to noise ratio increases by 13.98% as compared to the traditional Wiener filter. It is concluded that the quality of the hyper spectral image can be improved effectively by the proposed algorithm.

     

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