A New Blind Medical Image Watermarking Based on Weber Descriptors and Arnold Chaotic Map

  • Abdallah Soualmi
  • Adel Alti
  • Lamri Laouamer
Research Article - Computer Engineering and Computer Science


Protecting the personal patient’s information in distributed health infrastructures seems to be a crucial task. As a solution of this issue, image watermarking is widely used to secure and prevent the content alteration. Moreover, it is necessary to find a new blind watermarking technique way that could decrease the latency and preserve the quality of medical images. This paper presents a new watermarking technique for medical image. Our technique consists in combining the DCT transform, Weber descriptors (WDs) and Arnold chaotic map. This combination brings three significant steps. First, the watermark image is scrambled using Arnold chaotic map. Second, the DCT is performed on each medical image block, and the watermark data are embedded in the DCT middle- band coefficients of each block. Finally, a new embedding and extracting technique is proposed, based on WDs without any loss by selecting the right coefficients. We improve the robustness of the proposed algorithm against several scenarios of attacks such as noising, filtering and JPEG compression. The obtained results make our algorithm eligible to be practicable.


DCT Weber descriptors DICOM Medical image watermarking Blind Robustness Attacks 


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© King Fahd University of Petroleum & Minerals 2018

Authors and Affiliations

  1. 1.LRSD Lab, Computer Science DepartmentUniversity of SETIF-1SétifAlgeria
  2. 2.Lab-STICC (UMR CNRS 6285)University of Bretagne OccidentaleBrest CedexFrance

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