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长春光学精密机械与物... [1]
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会议论文 [1]
发表日期
2005 [1]
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Aerial image blurring caused by image motion and its restoration using wavelet transform (EI CONFERENCE)
会议论文
Electronic Imaging and Multimedia Technology IV, November 8, 2004 - November 11, 2004, Beijing, China
Liu M.
;
Liu G.
;
Xiu J.
;
Kuang H.
;
Zhai L.
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提交时间:2013/03/25
A wavelet-based approach of aerial blurred image restoration is proposed in this article. Image motion is inevitable in photographing for aerospace camera. Though some Image Motion Compensation(IMC) schemes are applied in aerial imaging system
the ultimate image will be blurred in certain extent for the existence of IMC residual error
while the forward image motion is the key element among all image motions which lead to image blurring. First the course of blurring caused by forward image motion is expressed using wavelet transform
and a multiresolution sparse matrix representation of the degeneration model is obtained according to the wavelet transform. Subsequently a regularizing restoration algorithm is deduced from it
and which can smoothly restraint the processed result efficiently. In the end the proposed approach is tested in MATLAB. The blurred image is restored using above-mentioned wavelet algorithm
conventional contrary filter and Wiener filter algorithm separately. The conclusion that the wavelet-based restoration algorithm is superior to other two approaches is obtained by comparing the restored image's value of mean gradient. The calculating quantity of the wavelet-based blurred image restoration approach isn't large and it has good practicability in the field of image interpretation and aerial survey or drawing.
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