DocumentCode
1798756
Title
Improving exemplar based inpainting method with a fuzzy approach
Author
Ghayoumi, Mehdi ; Cheng Chang Lu
Author_Institution
Comput. Sci. Dept., Kent State Univ., Kent, OH, USA
fYear
2014
fDate
7-9 July 2014
Firstpage
671
Lastpage
675
Abstract
Image inpainting is a repairing method for missed or damaged area in the images. This field of image processing research is very active over recent years and many researchers work on it to create new methods or improve existing methods. Exemplar-based inpainting is one of them and dropping effect is a problem in this method that effect on inpainting results. In this article, a fuzzy method for solving dropping effect is presented. The proposed approach presents better quality on the final results.
Keywords
fuzzy set theory; image restoration; damaged area; dropping effect; exemplar based inpainting method; fuzzy approach; missed area; repairing method; Algorithm design and analysis; Computational modeling; Equations; Filling; Image processing; Mathematical model; Signal processing algorithms; drop effect; exemplar-based; fuzzy; image processing; inpainting;
fLanguage
English
Publisher
ieee
Conference_Titel
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-3902-2
Type
conf
DOI
10.1109/ICALIP.2014.7009879
Filename
7009879
Link To Document