Sensors | |
Self-Embedding Authentication Watermarking with Effective Tampered Location Detection and High-Quality Image Recovery | |
Chin-Feng Lee1  Somya Agrawal1  Jau-Ji Shen2  Zhao-Ru Chen2  | |
[1] Department of Information Management, Chaoyang University of Technology, Taichung 41349, Taiwan;Department of Management Information Systems, National Chung Hsing University, Taichung 40227, Taiwan; | |
关键词: wireless sensor networks; image stenography; image authentication scheme; tamper detection; fragile watermarking method; self-recovery; | |
DOI : 10.3390/s19102267 | |
来源: DOAJ |
【 摘 要 】
Recently, sensor networks have emerged as a high-impact research area, and a number of high profile applications have been proposed. Although significant progress has already been made on securing basic network protocols, additional research is needed to produce techniques and methods for protecting canonical tasks in wireless sensor networks. In this paper, we propose an effective self-embedding authentication watermarking method for tampered location detection and image recovery. The proposed detection method is classified into block-wise and pixel-wise. In block-wise detection, if the size of the block is small, the false positive rate (FPR) will be low. In pixel-wise detection, when the tampered pixels are detected, only the corresponding pixel area is marked. Therefore, the FPR will be lower than that of the block-wise detection. The experimental results demonstrate that the proposed method was effective, and accurate tamper detection and high-quality recovery can be realized even in highly tampered images.
【 授权许可】
Unknown