Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints
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 other types of inpainting, sparsity-based inpainting exploits more general prior knowledge an...
Main Authors: | , , , , , |
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Other Authors: | |
Format: | Journal Article |
Language: | English |
Published: |
2018
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/89048 http://hdl.handle.net/10220/46181 |