Title :
Image inpainting algorithm based on adaptive template direction
Author :
Xuewen Wu ; Na Liu ; Yunyun Song
Author_Institution :
Compute & Inf. Collage, Hohai Univ., Nanjing, China
Abstract :
On the basis of exemplar-based inpaiting, an adaptive template direction algorithm was proposed to solve the problem that Criminisi algorithm easily leads to mismatching problems in the process of searching the best match patch. The selection of the direction of the template matching may raise the success rate of finding the best match patch and prevent mismatches. Experiments show that this algorithm is effective in improving the image inpainting effect.
Keywords :
image matching; Criminisi algorithm; adaptive template direction algorithm; best match patch; exemplar-based inpaiting; image inpainting algorithm; image inpainting effect; mismatching problems; template matching; Algorithm design and analysis; Cost function; Educational institutions; Filling; Image color analysis; Signal processing algorithms; Visual effects; Criminisi algotirhm; exemplar match; image inpainting; template direction;
Conference_Titel :
Image and Signal Processing (CISP), 2013 6th International Congress on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2763-0
DOI :
10.1109/CISP.2013.6744022
