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

• Main Authors: Jin, Xiao, Su, Yuting, Zou, Liang, Wang, Yongwei, Jing, Peiguang, Wang, Z. Jane
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Image Inpainting Detection; Image Forensics; DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/89048; http://hdl.handle.net/10220/46181
• Institution: Nanyang Technological University

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...