NDLI: A Structure-Synthesis Image Inpainting Algorithm Based on Morphological Erosion Operation

Content Provider	IEEE Xplore Digital Library
Author	Guo, Hao Ono, Nobutaka Sagayama, Shigeki
Copyright Year	2008
Abstract	Image inpainting provides a means to restore damaged region of an image, such that the image looks complete and natural after the inpainting process. This paper presents a new inpainting algorithm, which implements the filling of damaged region based on morphological erosion and structure feature replication. The method, which is based on a structure/texture feature matching algorithm, can retain isophote continuity by propagating both texture and structure characteristics information of the known patch into the damaged region, and output a complete, natural-looking and non-blurred image. By implementing region-filling through morphological erosion, several pixels instead of one can be restored at every inpainting step, making the method faster than many traditional texture synthesis inpainting algorithms. We demonstrate through several examples the effectiveness of the algorithm in removing large occluding objects as well as thin scratches.
Starting Page	530
Ending Page	535
File Size	631099
Page Count	6
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Laplace equations TV image inpainting mathematical morphology algorithms Image restoration Computer science Interpolation Information science Physics computing image restoration Signal processing algorithms Morphology texture synthesis Filling
Content Type	Text
Resource Type	Article

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