Aerial image blurring caused by image motion and its restoration using wavelet transform

Ming Liu; Gang Liu; Jihong Xiu; Haipeng Kuang; Linpei Zhai

doi:10.1117/12.574329

8 February 2005 Aerial image blurring caused by image motion and its restoration using wavelet transform

Ming Liu, Gang Liu, Jihong Xiu, Haipeng Kuang, Linpei Zhai

Proceedings Volume 5637, Electronic Imaging and Multimedia Technology IV; (2005) https://doi.org/10.1117/12.574329
Event: Photonics Asia, 2004, Beijing, China

Abstract

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.

Citation Download Citation

Ming Liu, Gang Liu, Jihong Xiu, Haipeng Kuang, and Linpei Zhai "Aerial image blurring caused by image motion and its restoration using wavelet transform", Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); https://doi.org/10.1117/12.574329

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