Title :
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
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;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100351
