Random matching pursuit for image watermarking

• Main Authors: Hua, Guang, Zhao, Lifan, Zhang, Haijian, Bi, Guoan, Xiang, Yong
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Data Hiding; Watermarking
• Online Access: https://hdl.handle.net/10356/142199
• Institution: Nanyang Technological University

The classical solution to an underdetermined system of linear equations mainly has two opposite directions, which lead to either a large ℓ 2 -norm sparse solution or a non-sparse minimum ℓ 2 -norm solution. In this paper, we systematically show that by modifying the well-known basic matching pursuit...