Sparsity-based image inpainting detection via canonical correlation analysis with low-rank constraints

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...

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書目詳細資料
Main Authors:	Jin, Xiao, Su, Yuting, Zou, Liang, Wang, Yongwei, Jing, Peiguang, Wang, Z. Jane
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2018
主題:	Image Inpainting Detection Image Forensics DRNTU::Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/89048 http://hdl.handle.net/10220/46181
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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