Fragile Watermark in Medical Image Based on Prime Number Distribution Theory.

The research of medical image in the field of anti-counterfeiting and authentication plays a crucial role in the development of hospital digitization. In this paper, a new fragile medical watermarking scheme is proposed using the prime number distribution theorem, chaotic mapping, and Hash. Firstly,...

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Publicado en:Journal of Digital Imaging Vol. 34; no. 6; pp. 1447 - 1463
Autores principales: Wei, Xiuyuan, Zhang, Wenyin, Yang, Bo, Wang, Jiuru, Xia, Ziyun
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Dec2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2021
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      pub: Springer Nature
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        10.1007/s10278-021-00524-4
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        atl: Fragile Watermark in Medical Image Based on Prime Number Distribution Theory.
      aug:
        au:
          Wei, Xiuyuan
          Zhang, Wenyin
          Yang, Bo
          Wang, Jiuru
          Xia, Ziyun
        affil: School of Information Science and Engineering, Linyi University, 276000, Linyi, Shandong, China
      sug:
        subj:
          Diagnostic Imaging
          Data Security
          Mathematics
          Electronic Health Records
          Algorithms
          Data Breach
          Noise
      ab: The research of medical image in the field of anti-counterfeiting and authentication plays a crucial role in the development of hospital digitization. In this paper, a new fragile medical watermarking scheme is proposed using the prime number distribution theorem, chaotic mapping, and Hash. Firstly, an approximate pixel set is constructed according to the distribution of prime numbers, and then the parity of the pixel value is re-granted with chaotic mapping, and Hash. The embedding and extraction of the watermark are done by using logical operations to adjust the pixel value according to the parity of the pixel value and the number of prime numbers contained in the pixel value. The experimental results demonstrate that the proposed scheme is imperceptible, efficient, and safe. Compared with the existing methods, the proposed scheme achieves the binding of medical image and patient information, as well as exhibits excellent detection and positioning capability, and will have good application prospects in medical image content authentication and tampering detection.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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