scholarly journals Lossless Watermarking for Verifying the Integrity of Medical Images with Tamper Localization

2008 ◽  
Vol 22 (6) ◽  
pp. 620-628 ◽  
Author(s):  
Xiaotao Guo ◽  
Tian-ge Zhuang
Keyword(s):  
Medical Images ◽  
Tamper Localization ◽  
Lossless Watermarking

scholarly journals Analysis of Secure Medical Image Communication with Digital Signature and Reversible Watermarking

2015 ◽  
Vol 15 (3) ◽  
pp. 544
Author(s):  
A. Umamageswari ◽  
G.R. Suresh
Keyword(s):  
Network Security ◽  
Digital Signature ◽  
Medical Image ◽  
Computer Network ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Relevant Information ◽  
Reversible Watermarking ◽  
Content Authentication ◽  
Lossless Watermarking

<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>

scholarly journals Multipurpose Watermarking Algorithm for Medical Images

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Shaozhang Xiao ◽  
Zhengwei Zhang ◽  
Yue Zhang ◽  
Changhui Yu
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Image Watermarking ◽  
Visual Quality ◽  
Image Management ◽  
Content Authentication ◽  
Tamper Localization ◽  
Single Function ◽  
Multipurpose Watermarking ◽  
Visible Watermark

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.

Embedding in medical images: an efficient scheme for authentication and tamper localization

2020 ◽  
Vol 79 (29-30) ◽  
pp. 21441-21470
Author(s):  
Nasir N. Hurrah ◽  
Shabir A. Parah ◽  
Javaid A. Sheikh
Keyword(s):  
Medical Images ◽  
Tamper Localization ◽  
Efficient Scheme

Reversible data hiding with contrast enhancement and tamper localization for medical images

2017 ◽  
Vol 385-386 ◽  
pp. 250-265 ◽  
Author(s):  
Guangyong Gao ◽  
Xiangdong Wan ◽  
Shimao Yao ◽  
Zongmin Cui ◽  
Caixue Zhou ◽  
...  
Keyword(s):  
Contrast Enhancement ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Medical Images ◽  
Tamper Localization

Editor’s Pick: Regulatory and Ethical Issues in the New Era of Radiomics and Radiogenomics

EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane
Keyword(s):  
Ethical Issues ◽  
Medical Images ◽  
Practical Significance ◽  
Innovative Technology ◽  
New Era ◽  
Naked Eye ◽  
Disease Characteristics ◽  
The Future ◽  
Using Data ◽  
The Relationship

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.

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