JOURNAL ARTICLE

Robust exemplar based image and video inpainting for object removal and region filling

Abstract

Inpainting an art the restores old, damage image. Exemplar based inpainting is that use the patch based approach. This method uses patches to fill the target region of the image. This method uses simultaneous the texture synthesis and structural propagation. But after some iteration the dropping effect of confidence term is occur in this method. The robust exemplar based method avoid dropping effect by using robust priority function. We proposed a video inpainting method on the basis of the robust exemplar based inpainting algorithm using region segmentation. In our we use robust priority function to avoid dropping effect and region segmentation to determine the adaptive patch size and reduced search region. The experimental results show the effectiveness of our method.

Keywords:
Inpainting Artificial intelligence Computer vision Computer science Object (grammar) Image (mathematics) Computer graphics (images)

Metrics

11
Cited By
0.25
FWCI (Field Weighted Citation Impact)
11
Refs
0.60
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 Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design

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