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
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;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
DOI :
10.1109/ICALIP.2014.7009879
