DocumentCode
3050693
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
fYear
2011
fDate
26-28 July 2011
Firstpage
777
Lastpage
779
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6003102
Filename
6003102
Link To Document