The priority computation of image inpainting

Author

Xu Yong-sheng ; Wang Shu-wen

Author_Institution

Coll. of Electr. Eng., Northwest Univ. for Nat., Lanzhou, China

Volume

2

fYear

2011

fDate

15-17 Oct. 2011

Firstpage

816

Lastpage

819

Abstract

In the image inpainting based on the sample block, the quality of image restoration is directly related to the repair order, and the existing algorithms ignore the respective proportions of the image texture features and the structural characteristics. The priority computation of the damaged image is completed by means of P-Laplace algorithms and D-S Evidence Theory in this paper. Experimental results show that the algorithm given in this paper can effectively improve the quality of image restoration.

Keywords

Laplace transforms; image restoration; image texture; inference mechanisms; D-S evidence theory; P-Laplace algorithms; damaged image; image inpainting; image restoration quality; image texture features; priority computation; repair order; sample block; structural characteristics; Analytical models; Educational institutions; Image texture; Lakes; Maintenance engineering; Mathematical model; Signal processing algorithms; D-S evidence theory; image inpainting; p-Laplace algorithms; priority computation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing (CISP), 2011 4th International Congress on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-9304-3

Type

conf

DOI

10.1109/CISP.2011.6100351

Filename

6100351