A Novel Texture-Quantization-Based Reversible Multiple Watermarking Scheme Applied to Health Information System.

The recent innovations in information and communication technologies have appreciably changed the panorama of health information system (HIS). These advances provide new means to process, handle, and share medical images and also augment the medical image security issues in terms of confidentiality,...

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Publicado en:Journal of Digital Imaging Vol. 31; no. 2; pp. 167 - 178
Autores principales: Turuk, Mousami, Dhande, Ashwin
Formato: algorithm diagnostic images equations & formulas pictorial research tables/charts Journal Article
Publicado: Springer Nature Apr2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2018
      vid: 31
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10278-017-0024-0
        128715851
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        atl: A Novel Texture-Quantization-Based Reversible Multiple Watermarking Scheme Applied to Health Information System.
      aug:
        au:
          Turuk, Mousami
          Dhande, Ashwin
        affil: Pune Institute of Computer Technology, Sr. No 27, Pune-Satara Road, Behind Bharati Vidyapeeth, Dhankawadi, Pune, Maharashtra 411043, India
      sug:
        subj:
          Health Information Systems
          Image Processing, Computer Assisted
          Human
          Privacy and Confidentiality
          Reliability
          Image Enhancement
          Sensitivity and Specificity
          Diagnostic Imaging
          Magnetic Resonance Angiography
          Tomography, X-Ray Computed
          Magnetic Resonance Imaging
          Ultrasonography Methods
          Digital Compression
          Coding
          Electrocardiography
          Signal Processing, Computer Assisted
      ab: The recent innovations in information and communication technologies have appreciably changed the panorama of health information system (HIS). These advances provide new means to process, handle, and share medical images and also augment the medical image security issues in terms of confidentiality, reliability, and integrity. Digital watermarking has emerged as new era that offers acceptable solutions to the security issues in HIS. Texture is a significant feature to detect the embedding sites in an image, which further leads to substantial improvement in the robustness. However, considering the perspective of digital watermarking, this feature has received meager attention in the reported literature. This paper exploits the texture property of an image and presents a novel hybrid texture-quantization-based approach for reversible multiple watermarking. The watermarked image quality has been accessed by peak signal to noise ratio (PSNR), structural similarity measure (SSIM), and universal image quality index (UIQI), and the obtained results are superior to the state-of-the-art methods. The algorithm has been evaluated on a variety of medical imaging modalities (CT, MRA, MRI, US) and robustness has been verified, considering various image processing attacks including JPEG compression. The proposed scheme offers additional security using repetitive embedding of BCH encoded watermarks and ADM encrypted ECG signal. Experimental results achieved a maximum of 22,616 bits hiding capacity with PSNR of 53.64 dB.
      pubtype: Academic Journal
      doctype:
        algorithm
        diagnostic images
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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