Computer Science ›› 2018, Vol. 45 ›› Issue (9): 195-201.doi: 10.11896/j.issn.1002-137X.2018.09.032

• Information Security • Previous Articles     Next Articles

Reversible Visible Watermarking Algorithm for Medical Image Based on Support Vector Regression

WANG Nan, LI Zhi, CHENG Xin-yu, CHEN Yi   

  1. Key Laboratory of Intelligent Medical Image Analysis and Precise Diagnosis of Guizhou Province,Guiyang 550025,China
    College of Computer Science and Technology,Guizhou University,Guiyang 550025,China
  • Received:2018-06-30 Online:2018-09-20 Published:2018-10-10

Abstract: With the development of medical imaging technology,medical image has become the main basis for doctors to diagnose patients’ condition.In order to provide more accurate diagnosis and optimal treatment plan for patients,medical image sharing and expert remote diagnosis have become important medical tools.Unprotected medical images are easily attacked or tampered maliciously during transmission,so this paper proposed a reversible visible watermarking algorithm for medical image based on support vector regyession to effectively protect the integrity of medical image information and limit the application of unauthorized users.Firstly,the algorithm embeds the visual watermark into the medi-cal image.Secondly,it uses the support vector regression to forecast the pixel value of the watermark image,and calculates the prediction error.Then,it applies the texture level to determine the appropriate brightness adjustment thre-shold,thus generating a global positioning map according to the threshold,and it adds the global positioning map to the original image to enhance the robustness of the algorithm.Finally,it generates a reversible visual watermark by using the relationship between the global positioning map and the prediction error to encrypt the medical image.The experimental results show that the reversible visible algorithm can be applied to not only traditional medical images,but also diffusion weighted images for the first time.The algorithm has good robustness and reversibility,and can effectively avoid pixel overflow problems,achieving the correct extraction of reversible watermark.There is no any difference between the recovered image and the original image.When the watermark information is unknown,it is difficult to remove visible reversible watermarking,and this feature can effectively protect the integrity of patient information and the authority of medical images.

Key words: Diffusion weighted image, Medical image, Support vector regression, Textural degree, Visible reversible watermark

CLC Number: 

  • TP309
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