Efficient lossless watermarking algorithm using gradient sorting and selective embedding

2018 ◽  
Vol 77 (18) ◽  
pp. 23579-23606 ◽  
Author(s):  
Ko-Chin Chang
2019 ◽  
Vol 157 ◽  
pp. 108-118 ◽  
Author(s):  
Zhiqiu Xia ◽  
Xingyuan Wang ◽  
Wenjie Zhou ◽  
Rui Li ◽  
Chunpeng Wang ◽  
...  

2017 ◽  
Vol 9 (2) ◽  
pp. 25-37 ◽  
Author(s):  
Juan Chen ◽  
Fei Peng ◽  
Jie Li ◽  
Min Long

With the wide application of 3D STL model in 3D printing, much attention has been paid to its content security and copyright protection. Based on entity rearrangement and bit mapping, a lossless and high capacity watermarking scheme is proposed for 3D STL model. Experimental results and analysis show that the average capacity is improved 0.71bits/facet compared with the original entity rearrangement method, and the capacity is 0.247 bits/entity larger than that of the optimal capacity of the standard entity rearrangement method. It can achieve good efficiency and it is robust against translation, rotation and even scaling. It has potential application in secret communication and copyright protection of 3D STL model.


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>


2020 ◽  
Vol 79 (31-32) ◽  
pp. 22473-22495
Author(s):  
Hamidreza Zarrabi ◽  
Ali Emami ◽  
Pejman Khadivi ◽  
Nader Karimi ◽  
Shadrokh Samavi

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