JOURNAL ARTICLE

Digital Image Inpainting based on Markov Random Field

Abstract

Digital image inpainting means reconstruction of small damaged portions of images. In the present paper, we propose a novel algorithm for digital image inpainting based on the Markov random field model. The proposed algorithm requires only specifying damaged regions to be inpainted, and works automatically, i.e., it does not require any user intervention. In addition, our method is very simple to be implemented and fast

Keywords:
Inpainting Markov random field Computer science Artificial intelligence Image (mathematics) Random field Computer vision Digital image Markov chain Field (mathematics) Markov process Image restoration Markov model Simple (philosophy) Pattern recognition (psychology) Image processing Image segmentation Mathematics Machine learning Statistics

Metrics

12
Cited By
1.51
FWCI (Field Weighted Citation Impact)
21
Refs
0.84
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
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing and 3D Reconstruction
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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