DocumentCode
548219
Title
A New PDE Model for Image Restoration
Author
Zhu, Yonggui ; Yang, Xiaolan
Author_Institution
Sch. of Sci., Commun. Univ. of China, Beijing, China
Volume
1
fYear
2011
fDate
14-15 May 2011
Firstpage
308
Lastpage
311
Abstract
The ill posed Perona-Malik equation of image processing and the regularized P-M model i. e. C-model are studied. The convex composition of the two models is presented in the form of the system of partial differential equations. The algorithm for the proposed model is given. Some images are employed to do the numerical experiments. The results show that our model yields better smoothing and edge detection results and has higher PSNR and less RMSE than other two methods.
Keywords
edge detection; image restoration; partial differential equations; C-model; PDE model; PSNR; Perona-Malik equation; RMSE; edge detection; image restoration; partial differential equations; regularized P-M model; Equations; Image edge detection; Mathematical model; Numerical models; PSNR; Smoothing methods; AOS algorithm; C-model; Perona-Malik model; convex composition;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Signal Processing (CMSP), 2011 International Conference on
Conference_Location
Guilin, Guangxi
Print_ISBN
978-1-61284-314-8
Electronic_ISBN
978-1-61284-314-8
Type
conf
DOI
10.1109/CMSP.2011.68
Filename
5957429
Link To Document