Robust Exemplar-Based Image and Video Inpainting for Object Removal and Region Filling
Inpainting is an art that restores old and damage image. Exemplar-based inpainting uses the patch-based approach. It uses patches to fill the target region of the image. Also, it uses simultaneously the texture synthesis and structural propagation. But after some iteration, the dropping effect of confidence term occurs in this method. The robust exemplar-based method avoids dropping effect by using robust priority function. The proposed video inpainting method is based on the robust exemplar-based inpainting algorithm using region segmentation. Our algorithm uses a 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.
KeywordsImage inpainting Exemplar-based inpainting Robust image inpainting Robust video inpainting
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