Multiple watermarking of medical images for content authentication and recovery

Author(s):  
Nisar Ahmed Memon ◽  
S. A. M. Gilani ◽  
Shams Qayoom
2017 ◽  
pp. 95-124
Author(s):  
Amit Kumar Singh ◽  
Basant Kumar ◽  
Ghanshyam Singh ◽  
Anand Mohan

2016 ◽  
Vol 76 (3) ◽  
pp. 3557-3575 ◽  
Author(s):  
Siddharth Singh ◽  
Vivek Singh Rathore ◽  
Rajiv Singh

2015 ◽  
Vol 15 (3) ◽  
pp. 544
Author(s):  
A. Umamageswari ◽  
G.R. Suresh

<p>Protection of Medical image contents becomes the important issue in computer network security. Digital Watermarking has becomes a promising technique for medical content authentication, it allows to embed relevant information with the image, which provides confidentiality, integrity and authentication by embedding Digital Signature (DS) with the Medical image. In this paper we focus on need for reversible watermarking, Medical Image Compression and security related problems in medical images, it comparing the performances of various lossless watermarking techniques for various medical image modalities like MRI (Magnetic Resonance Imaging), US (Ultrasonic), CT (Computed Tomography), Endoscopic and Angiographic images. Region of Interest (ROI) supporting lossless watermarking systems only considered for discussions. Performance of all lossless watermarking with Digital Signature is analyzed by means of four parameters Capacity Rate, PSNR (Peak Signal to Noise ratio), NPCR (Number of Pixel Change Rate) and Compression Ratio (CR). This Paper also introduces new mechanism for open network security for medical images. This lossless watermarking is responsible for recovering the altered medical image content of the system.</p>


2017 ◽  
pp. 125-157 ◽  
Author(s):  
Amit Kumar Singh ◽  
Basant Kumar ◽  
Ghanshyam Singh ◽  
Anand Mohan

2016 ◽  
Vol 92 (4) ◽  
pp. 1611-1624 ◽  
Author(s):  
Abhilasha Sharma ◽  
Amit Kumar Singh ◽  
Satya Prakash Ghrera

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Shaozhang Xiao ◽  
Zhengwei Zhang ◽  
Yue Zhang ◽  
Changhui Yu

Considering the existing medical image watermarking algorithms, a single function often has limitations, and a multipurpose watermarking algorithm for medical images is proposed. First, medical images are divided into regions of interest (ROIs) and regions of noninterest (RONIs). Then, the authentication watermark produced for each subblock of the ROI is embedded into the corresponding mapping subblock. The visible watermark is embedded into the RONI, and, finally, the watermark information and constructed authentication information in each subblock of the ROI are embedded into the corresponding RONI subblock. Simulation results show that the embedded visible watermark can protect and facilitate medical image management. In addition, the proposed algorithm has strong robustness and very good visual quality. It can simultaneously realize copyright protection and content authentication and also has high tamper localization capability.


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