Title :
Investigation on Deblurring of Remote Sensing Images Using Bayesian Principle
Author :
Wang Zhen-Guo ; Geng Ze-xun
Author_Institution :
Inf. Eng. Univ., Zhengzhou
Abstract :
Firstly, this paper briefly introduces the causations that lead to the image degradation in the data obtaining and transmission process of remote sensing. Secondly, it deduces a kind of remote sensing image debluring algorithm that is independent of the objects imaging model. The experimental results show that the algorithm is capable of resisting-noise with robustness, especially it is more suitable for the situation without any prior knowledge.
Keywords :
Bayes methods; image restoration; remote sensing; Bayesian principle; image degradation; objects imaging model; remote sensing image deblurring; transmission process; Bayesian methods; Deconvolution; Degradation; Image resolution; Image restoration; Iterative algorithms; Mathematical model; Mathematics; Probability; Remote sensing;
Conference_Titel :
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location :
Sichuan
Print_ISBN :
0-7695-2929-1
DOI :
10.1109/ICIG.2007.100
