Abstract

Inpainting refers to the task of filling in the missing or damaged regions of an image in an undetectable manner. We have an image to be reconstructed in a user-defined region. We use a fast decomposition method to obtain two components of the image, namely structure and texture. Reconstruction of each component is performed separately. The missing information in the structure component is reconstructed using a structure inpainting algorithm, while the texture component is repaired by a texture synthesis technique. To obtain the inpainted image, the two reconstructed components are composed together. Taking advantage of both the structure inpainting methods and texture synthesis techniques, we designed an effective image reconstruction method. Comparative reconstructed test images show the merits of our proposed approach in providing high quality inpainted images.

Keywords:
Inpainting Artificial intelligence Computer vision Image (mathematics) Computer science Texture synthesis Texture (cosmology) Image texture Component (thermodynamics) Pattern recognition (psychology) Iterative reconstruction Filling-in Image processing

Metrics

9
Cited By
0.32
FWCI (Field Weighted Citation Impact)
17
Refs
0.58
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Generative Adversarial Networks and Image Synthesis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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