Sparsity-Based Image Inpainting Detection via Canonical Correlation Analysis With Low-Rank Constraints

IEEE Access, Volume 6, 2018, Pages 49967-49978.

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Abstract:

Image inpainting, a commonly used image editing technique for filling the mask or missing areas in images, is often adopted to destroy the integrity of images by forgers with ulterior motives. Compared with the other types of inpainting, the sparsity-based inpainting exploits more general prior knowledge and has a broader application scop...More

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