A watermarking scheme for dual‐color images based on URV decomposition and image correction

International Journal of Intelligent SystemsVolume 37, Issue 10 p. 7548-7570 RESEARCH ARTICLE A watermarking scheme for dual-color images based on URV decomposition and image correction Qingtang Su, Corresponding Author Qingtang Su [email protected] orcid.org/0000-0002-8291-1435 School of Information and Electrical Engineering, Ludong University, Yantai, China Correspondence Qingtang Su, School of Information and Electrical Engineering, Ludong University, 264025 Yantai, China. Email: [email protected]Search for more papers by this authorYehan Sun, Yehan Sun orcid.org/0000-0001-6904-4181 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorXueting Zhang, Xueting Zhang School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorHuanying Wang, Huanying Wang orcid.org/0000-0001-5390-0967 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorGang Wang, Gang Wang orcid.org/0000-0001-6759-1616 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorTao Yao, Tao Yao orcid.org/0000-0003-2660-1050 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this author Qingtang Su, Corresponding Author Qingtang Su [email protected] orcid.org/0000-0002-8291-1435 School of Information and Electrical Engineering, Ludong University, Yantai, China Correspondence Qingtang Su, School of Information and Electrical Engineering, Ludong University, 264025 Yantai, China. Email: [email protected]Search for more papers by this authorYehan Sun, Yehan Sun orcid.org/0000-0001-6904-4181 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorXueting Zhang, Xueting Zhang School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorHuanying Wang, Huanying Wang orcid.org/0000-0001-5390-0967 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorGang Wang, Gang Wang orcid.org/0000-0001-6759-1616 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this authorTao Yao, Tao Yao orcid.org/0000-0003-2660-1050 School of Information and Electrical Engineering, Ludong University, Yantai, ChinaSearch for more papers by this author First published: 25 April 2022 https://doi.org/10.1002/int.22893Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Abstract In view of the fact that many watermarking schemes cannot well adapt to the occasion of image copyright protection with a large amount of information, and the copyright protection of color image is facing severe challenges, a dual-color image watermarking scheme based on URV decomposition (URVD) and image correction is designed in this paper. The two-dimensional Logistic-adjusted-Sine map is first used to generate two chaotic sequences for pixel-level scrambling and bit-level diffusion of the watermark image, and URVD is applied to watermarking scheme. After fully considering the relationship between image channels, the watermark is embedded into the maximum URVD coefficient by using quantization index modulation based on variable quantization steps. The greatest contribution of this paper is to propose a new image correction algorithm as a pretreatment of watermark extraction, which mainly includes fast detection of feature points, image correction, and sawtooth processing, and it solves some problems existing in image correction algorithms based on geometric characteristics. Experimental results show that the proposed scheme has good invisibility, strong robustness, and high security. Compared with existing schemes, the proposed scheme has better performance under the same actual embedding rate, especially stronger and more effective robustness against some common geometric attacks. Volume37, Issue10October 2022Pages 7548-7570 RelatedInformation