KEYWORDS: Digital watermarking, Medical imaging, Picture Archiving and Communication System, Image processing, Information security, Wavelets, Data modeling, Image analysis, Image compression, Network security
PACS model based on digital watermarking is proposed by analyzing medical image features and PACS requirements
from the point of view of information security, its core being digital watermarking server and the corresponding
processing module. Two kinds of digital watermarking algorithm are studied; one is non-region of interest (NROI)
digital watermarking algorithm based on wavelet domain and block-mean, the other is reversible watermarking
algorithm on extended difference and pseudo-random matrix. The former belongs to robust lossy watermarking, which
embedded in NROI by wavelet provides a good way for protecting the focus area (ROI) of images, and introduction of
block-mean approach a good scheme to enhance the anti-attack capability; the latter belongs to fragile lossless
watermarking, which has the performance of simple implementation and can realize tamper localization effectively, and
the pseudo-random matrix enhances the correlation and security between pixels. Plenty of experimental research has
been completed in this paper, including the realization of digital watermarking PACS model, the watermarking
processing module and its anti-attack experiments, the digital watermarking server and the network transmission
simulating experiments of medical images. Theoretical analysis and experimental results show that the designed PACS
model can effectively ensure confidentiality, authenticity, integrity and security of medical image information.
An adaptive optimization watermarking algorithm based on Genetic Algorithm (GA) and discrete wavelet transform
(DWT) is proposed in this paper. The core of this algorithm is the fitness function optimization model for digital
watermarking based on GA. The embedding intensity for digital watermarking can be modified adaptively, and the
algorithm can effectively ensure the imperceptibility of watermarking while the robustness is ensured. The optimization
model research may provide a new idea for anti-coalition attacks of digital watermarking algorithm. The paper has
fulfilled many experiments, including the embedding and extracting experiments of watermarking, the influence
experiments by the weighting factor, the experiments of embedding same watermarking to the different cover image, the
experiments of embedding different watermarking to the same cover image, the comparative analysis experiments
between this optimization algorithm and human visual system (HVS) algorithm and etc. The simulation results and the
further analysis show the effectiveness and advantage of the new algorithm, which also has versatility and expandability.
And meanwhile it has better ability of anti-coalition attacks. Moreover, the robustness and security of watermarking
algorithm are improved by scrambling transformation and chaotic encryption while preprocessing the watermarking.
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