19 December 2013 Accurate identification of blur parameters on joint blurred image of remote sensing
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Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 904516 (2013) https://doi.org/10.1117/12.2035686
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China
Abstract
Aerial images captured using time delay and integration (TDI) charge-coupled devices (CCDs) could be blurred by three types of motion: forward image motion, turbulence disturbance and high frequency vibration. This work proposes a method to separately construct the three deterministic models by discerning or calculating the parameters from a single image blurred by all the three ones. Based on these models, we catch and separate the features existing in the power spectrum diagram, and select the methods with the best identification accuracy to the parameters. The results show the approach we mention can promise the accuracy of the determined parameters, which is helpful to improve the result of blind restoration algorithm.
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Jiong Liang, Ting fa Xu, Ming zhu Shi, Liang Feng, Guo qiang Ni, "Accurate identification of blur parameters on joint blurred image of remote sensing", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 904516 (19 December 2013); doi: 10.1117/12.2035686; https://doi.org/10.1117/12.2035686
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