Blind image watermarking via exploitation of inter-block prediction and visibility threshold in DCT domain |
| |
| Affiliation: | 1. Department of Information Management, Junior College of Medicine, Nursing and Management, I-Lan, Taiwan;2. Department of Electronic Engineering, National I-Lan University, I-Lan, Taiwan;1. TNlist and Department of Automation, Tsinghua University, Beijing, China;2. Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong;1. Institute of Computing, University of Campinas, Campinas, SP 13083-852, Brazil;2. Department of Computer Science, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-010, Brazil;1. Department of Electrical Engineering, National Chung Cheng University, Chia-Yi, Taiwan, ROC;2. Advanced Institute of Manufacturing with High-tech Innovations (AIM-HI), National Chung Cheng University, Chia-Yi, Taiwan, ROC;1. College of Science, Northwest A&F University, Yangling, Shaanxi 712100, China;2. Department of Mathematics, University of Houston, Houston, TX 77204, USA |
| |
| Abstract: | In this paper, the backward-propagation neural network (BPNN) technique and just-noticeable difference (JND) model are incorporated into a block-wise discrete cosine transform (DCT)-based scheme to achieve effective blind image watermarking. To form a block structure in the DCT domain, we partition a host image into non-overlapped blocks of size 8 × 8 and then apply DCT to each block separately. By referring to certain DCT coefficients over a 3 × 3 grid of blocks, the BPNN can offer adequate predictions of designated coefficients inside the central block. The watermarking turns out to be a process of adjusting the relationship between the intended coefficients and their BPNN predictions subject to the JND. Experimental results show that the proposed scheme is able to withstand a variety of image processing attacks. Compared with two other schemes that also utilize inter-block correlations, the proposed one apparently exhibits superior robustness and imperceptibility under the same payload capacity. |
| |
| Keywords: | Blind image watermarking Inter-block prediction Discrete cosine transform Backward-propagation neural network Just-noticeable difference Relative modulation Robustness Imperceptibility |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
