DocumentCode :
3268937
Title :
A fourth order partial differential equation model from the Weber´s total variation for image restoration
Author :
Dong-Hong Zhao ; Lai-Sheng Wang
Author_Institution :
Dept. of Math., Agric. Univ. of China, Beijing, China
fYear :
2011
fDate :
18-20 Jan. 2011
Firstpage :
180
Lastpage :
184
Abstract :
Here we examine the partial regularity of minimums of a Laplace functional with the Weber TV image restoration in Bounded Variation space. Most conventional image processors consider little the influence of human vision psychology. This paper proposed a new functional. Furthermore, this functional is not only to use Laplace operator but also to add the human psychology system. Of course, because we add the influence of human vision psychology for the regularity item, this adds the difficult extent of the proposed problem of this text. Due to the singular nature of the Laplace, we study a regularized Laplace. With the proof of the experiment, it was to be found that this functional thus smoothes the image, and preserves edges via total variation because this functional lead into a higher order equation-a fourth order partial differential equation.
Keywords :
Laplace equations; computer vision; image restoration; psychology; Laplace functional; Weber TV image restoration; bounded variation space; edge preservation; fourth order partial differential equation; human psychology system; human vision psychology; image processors; Computational modeling; Equations; Image recognition; Image restoration; Mathematical model; Numerical models; Psychology; Four order partial differential equation; Laplace Functional; Partial regularity; Total Variation; Weber´s law;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Control (ICACC), 2011 3rd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8809-4
Electronic_ISBN :
978-1-4244-8810-0
Type :
conf
DOI :
10.1109/ICACC.2011.6016393
Filename :
6016393
Link To Document :
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