Image Inpainting Algorithm Based on Low-Rank Approximation and Texture Direction

Jinjiang Li, Mengjun Li and Hui Fan

Mathematical Problems in Engineering, 2014, vol. 2014, 1-11

Abstract:

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.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:621520

DOI: 10.1155/2014/621520

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