DocumentCode
2136557
Title
Improved image inpainting using maximum value edge detector
Author
De, Chandralekha ; Shih, Frank Y.
Author_Institution
Dept. of Comput. Sci., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
2012
fDate
22-24 April 2012
Firstpage
77
Lastpage
80
Abstract
Image inpainting is a novel method to repair damaged images. In this paper, an improved edge operator is proposed to calculate the structure priority value for determining the order of filling in an image. We use a maximum value edge operator which refines the number of edge pixels detected accurately as opposed to the existing method which relies on a single edge operator and in many cases may not provide the best output. An improvement in accuracy for edge detection thereby improves the quality of the inpainting method.
Keywords
edge detection; image reconstruction; edge detection; image inpainting; maximum value edge detector; single edge operator; structure priority value calculation; Decision support systems; inpainting; texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation (SSIAI), 2012 IEEE Southwest Symposium on
Conference_Location
Santa Fe, NM
Print_ISBN
978-1-4673-1831-0
Electronic_ISBN
978-1-4673-1829-7
Type
conf
DOI
10.1109/SSIAI.2012.6202457
Filename
6202457
Link To Document