DocumentCode :
3590026
Title :
Structure and Texture Image Inpainting Based on Region Segmentation
Author :
Minfen Shen ; Bin Li
Author_Institution :
Coll. of Eng., Shantou Univ., China
Volume :
1
fYear :
2007
Abstract :
In this paper, we propose a new algorithm for structure and texture filling-in of complex images with missing information. Our algorithm relies on edge-based region segmentation. The segmented regions are used both to reconstruct a structure component and to guide the restoration of a texture component. The contributions of this paper are two-fold. Firstly, we propose an efficient method to prevent the edge-blur in filling-in complex image. Secondly, the texture can be quickly and nicely fixed in our method. Examples on real images show the advantages of our algorithm.
Keywords :
image restoration; image segmentation; image texture; edge-based region segmentation; edge-blur prevention; missing information; region segmentation; structure component restoration; texture component reconstruction; texture image inpainting; Algorithm design and analysis; Image analysis; Image coding; Image communication; Image decomposition; Image reconstruction; Image restoration; Image segmentation; Image texture analysis; Reconstruction algorithms; image reconstruction; image region analysis; image restoration; image segmentation; image texture analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
1-4244-0727-3
Type :
conf
DOI :
10.1109/ICASSP.2007.366004
Filename :
4217176
Link To Document :
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