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Image Inpainting Algorithm Based on Low-Rank Approximation and Texture Direction
Joint Authors
Li, Jinjiang
Li, Mengjun
Fan, Hui
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Existing image inpainting algorithm based on low-rank matrix approximation cannot be suitable for complex, large-scale, damaged texture image.
An inpainting algorithm based on low-rank approximation and texture direction is proposed in the paper.
At first, we decompose the image using low-rank approximation method.
Then the area to be repaired is interpolated by level set algorithm, and we can reconstruct a new image by the boundary values of level set.
In order to obtain a better restoration effect, we make iteration for low-rank decomposition and level set interpolation.
Taking into account the impact of texture direction, we segment the texture and make low-rank decomposition at texture direction.
Experimental results show that the new algorithm is suitable for texture recovery and maintaining the overall consistency of the structure, which can be used to repair large-scale damaged image.
American Psychological Association (APA)
Li, Jinjiang& Li, Mengjun& Fan, Hui. 2014. Image Inpainting Algorithm Based on Low-Rank Approximation and Texture Direction. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044398
Modern Language Association (MLA)
Li, Jinjiang…[et al.]. Image Inpainting Algorithm Based on Low-Rank Approximation and Texture Direction. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1044398
American Medical Association (AMA)
Li, Jinjiang& Li, Mengjun& Fan, Hui. Image Inpainting Algorithm Based on Low-Rank Approximation and Texture Direction. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044398
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044398