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作者机构:School of Electronic Electrical Engineering and Physics Fujian University of Technology Fuzhou350118 China School of Computer Science and Mathematics Fujian University of Technology Fuzhou350118 China College of information engineering Xizang Minzu university Xianyang712082 China Fujian Key Lab for Automotive Electronics and Electric Drive Fujian University of Technology 350118 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07103 United States
出 版 物:《Journal of Network Intelligence》 (J. Network Intell.)
年 卷 期:2021年第6卷第2期
页 面:365-379页
核心收录:
基 金:Acknowledgment. This work was supported in part by the National NSF of China under Grant 61872095 Grant 61571139 Grant 61872128 in part International Scientific and Technological Cooperation of Guangdong Province under Grant 2019A050513012 in part by the Open Project Program of Shenzhen Key Laboratory of Media Security under Grant ML-2018-03 in part by Fujian Science Fund for Distinguished Young Scholars under Grant 2020J06043
主 题:Pixels
摘 要:The advantage of the improved pixel value ordering (IPVO) lies in introduc-ing the positions of two pixels to calculate the difference value between these two pixels, so that each prediction error valued 0 or 1 can be embedded with one bit of data. How-ever, in IPVO, each prediction error at-1 provides no capacity but merely degrade the visual quality. To increase the number of prediction errors valued 1 while decreasing the number of prediction errors valued-1, 16 different block scanning ways are designed to obtain the optimal scanning way generating the large inverse number for each block. Besides, the single-layer embedding strategy of Weng et al.’s method is employed in the proposed method to adaptively select pixels of a block for carrying data. By combining 16 different block scanning ways with the single-layer embedding strategy, the proposed method not only improves the rate-distortion performance but also reduces the computational complexity. Extensive experiments have proved that the performance of our scheme is superior to those of several related schemes. © 2021, Taiwan Ubiquitous Information. All rights reserved.