caa a22 4500 60544742X CHVBK 20210128100132.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11042-013-1838-5 doi (NATIONALLICENCE)springer-10.1007/s11042-013-1838-5 Novel robust multiple watermarking against regional attacks of digital images [Elektronische Daten] [Yuanning Liu, Youwei Wang, Xiaodong Zhu] This paper presents a novel robust multiple watermarking method for regional attacks of digital images. The core idea of the proposed method is to divide the host image into 4 × 4 non-overlapping regions and embed the watermark image into these regions repeatedly. First, the binary watermark image is scrambled by Arnold transform and divided into four equal parts. Then, the variance and mean value information of each 8 × 8 size block in the host image is used as side information, and each part of the scrambled watermark is embedded in the particular four regions of the host image. In the watermark extraction process, each part of the scrambled watermark image is divided into four equal sub-parts further. The similarity between the sub-part of the scrambled watermark and each extracted watermark segment corresponding to this sub-part is used as side information to search the final extracted watermark segment. For ensuring the visual quality of the watermarked image, the watermark embedding quantization steps are selected by combining Human Visual System (HVS) and Particle Swarm Optimization (PSO). Moreover, a novel watermark quality evaluating measurement, called Weighted Normalized Correlation (WNC), is proposed. Experimental results demonstrate good visual imperceptibility and robustness of the proposed method against traditional regional attacks, accidental attacks and joint attacks, which are performed by Stirmark or Adobe Photoshop CS5. Springer Science+Business Media New York, 2014 Multiple watermarking nationallicence Regional attacks nationallicence Arnold transform nationallicence Human Visual System nationallicence Particle Swarm Optimization nationallicence Accidental attacks nationallicence Joint attacks nationallicence Liu Yuanning College of Computer Science and Technology, Jilin University, No.2699, qianjin Street, 130012, Changchun, Jilin Province, China aut Wang Youwei College of Computer Science and Technology, Jilin University, No.2699, qianjin Street, 130012, Changchun, Jilin Province, China aut Zhu Xiaodong College of Computer Science and Technology, Jilin University, No.2699, qianjin Street, 130012, Changchun, Jilin Province, China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4765-4787 1380-7501 74:13<4765 2015 74 11042 https://doi.org/10.1007/s11042-013-1838-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-013-1838-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Liu Yuanning College of Computer Science and Technology, Jilin University, No.2699, qianjin Street, 130012, Changchun, Jilin Province, China aut NATIONALLICENCE 700 1- Wang Youwei College of Computer Science and Technology, Jilin University, No.2699, qianjin Street, 130012, Changchun, Jilin Province, China aut NATIONALLICENCE 700 1- Zhu Xiaodong College of Computer Science and Technology, Jilin University, No.2699, qianjin Street, 130012, Changchun, Jilin Province, China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4765-4787 1380-7501 74:13<4765 2015 74 11042