Advance hybrid medical watermarking algorithm using speeded up robust features and discrete cosine transform.

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ID: 275134
2020
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Abstract
In the continuous development of computer network technology, multimedia technology and information technology, digitization has become the main means of displaying information, thus facilitating the storage, copying and dissemination of digital multimedia information. In this context, there are no restrictions on arbitrary editing, copying, modification, and dissemination of digital images, music, etc., which leads to various social problems such as information security, copyright disputes, and piracy. With the advancement of networks and multimedia, digital watermarking technology has received worldwide attention as an effective method of copyright protection. Improving the anti-geometric attack ability of digital watermarking algorithms using image feature-based algorithms have received extensive attention. This paper proposes a novel robust watermarking algorithm based on SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform), namely blind watermarking. The algorithm firstly uses the affine transformation with a feature matrix and chaotic encryption technology to preprocess the watermark image, enhance the confidentiality of the watermark, and perform block and DCT coefficients extraction on the carrier image, and then uses the positive and negative quantization rules to modify the DCT coefficients. The embedding of the watermark is completed, and the blind extraction of the watermark realized. Experiments show that the algorithm has good invisibility and strong robustness against conventional and geometric attacks and can effectively protect the security of images with NC value more than 90%.
Reference Key
nawaz2020advanceplos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nawaz, Saqib Ali;Li, Jingbing;Bhatti, Uzair Aslam;Mehmood, Anum;Shoukat, Muhammad Usman;Bhatti, Mughair Aslam;
Journal PloS one
Year 2020
DOI
10.1371/journal.pone.0232902
URL
Keywords
factor structure military measurement invariance general health questionnaire (ghq-12) bifactor models confirmatory factor analysis (cfa) wording effects

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