Title :
A New PDE Model for Image Restoration
Author :
Zhu, Yonggui ; Yang, Xiaolan
Author_Institution :
Sch. of Sci., Commun. Univ. of China, Beijing, China
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;
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
DOI :
10.1109/CMSP.2011.68
