Title :
Study recovering of image with MATLAB
Author :
Bai, Chun-lan ; Liu, Hao
Author_Institution :
Dept. of Survey-mapping & Urban-space Inf., Henan Univ. of Urban Constr., Pingdingshan, China
Abstract :
Degradation model of image is established. Permissive revivification method and constraints revivification methods are used to analyze recovering of image. On this basis, images are adopted Lucy-Richardson method, blindness convolution method, constrained least squares filtering and Wiener filtering method to recover. And then, the results are analyzed and compared. The results show that the recovering of image is applied Wiener filtering method with more definition.
Keywords :
Wiener filters; image restoration; least squares approximations; Lucy-Richardson method; MATLAB; Wiener filtering method; blindness convolution method; constrained least squares filtering; constraint revivification method; image degradation model; image recovery; permissive revivification method; Convolution; Degradation; Image restoration; Mathematical model; Noise; Wiener filter; Image recovering; Limit recovering; MATLAB; Non-limit recovering;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6003102
