A Reversible Digital Watermarking Algorithm Based on Medical Images via Threshold Segmentation and Contrast Enhancement

2021 ◽  
pp. 675-690
Author(s):  
Jin Pang ◽  
Xingjie Huang ◽  
Ru Zhang ◽  
Jianyi Liu ◽  
Yue Wang ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Atta-ur-Rahman ◽  
Kiran Sultan ◽  
Nahier Aldhafferi ◽  
Abdullah Alqahtani ◽  
Maqsood Mahmud

A novel reversible digital watermarking technique for medical images to achieve high level of secrecy, tamper detection, and blind recovery of the original image is proposed. The technique selects some of the pixels from the host image using chaotic key for embedding a chaotically generated watermark. The rest of the pixels are converted to residues by using the Residue Number System (RNS). The chaotically selected pixels are represented by the polynomial. A primitive polynomial of degree four is chosen that divides the message polynomial and consequently the remainder is obtained. The obtained remainder is XORed with the watermark and appended along with the message. The decoder receives the appended message and divides it by the same primitive polynomial and calculates the remainder. The authenticity of watermark is done based on the remainder that is valid, if it is zero and invalid otherwise. On the other hand, residue is divided with a primitive polynomial of degree 3 and the obtained remainder is appended with residue. The secrecy of proposed system is considerably high. It will be almost impossible for the intruder to find out which pixels are watermarked and which are just residue. Moreover, the proposed system also ensures high security due to four keys used in chaotic map. Effectiveness of the scheme is validated through MATLAB simulations and comparison with a similar technique.


Author(s):  
Ruchira Naskar ◽  
Rajat Subhra Chakraborty ◽  
Dev Kumar Das ◽  
Chandan Chakraborty

With the advent of telemedicine, Digital Rights Management of medical images has become a critical issue pertaining to security and privacy preservation in the medical industry. The technology of telemedicine makes patient diagnosis possible for physicians located at a remote site. This technology involves electronic transmission of medical images over the internet, thus raising the need for ensuring security and privacy of such information. Digital watermarking is a widely used technique for the authentication and protection of multimedia data such as images and video against various security and privacy threats. But such digital rights management practices as watermarking often lead to considerable distortion or information loss of the medical images. The medical images being highly sensitive and legally valuable assets of the medical industry, such information loss are often not tolerable. Most importantly, such information loss may lead to incorrect patient diagnosis or reduced accuracy of disease detection. In this chapter we investigate the impact of digital watermarking, and its effect on the accuracy of disease diagnosis, specifically diagnosis of malarial infection caused by Plasmodium vivax parasite. We have used a computer–aided, automatic diagnostic model for our work in this chapter. Our experimental results show that although general (lossy) digital watermarking reduces the diagnostic accuracy, it can be improved with the use of reversible (lossless) watermarking. In fact, the adverse effect(s) of watermarking on the diagnostic accuracy can be completely mitigated through the use of reversible watermarking.


Author(s):  
Dan Yi ◽  
Jing Liu ◽  
Jingbing Li ◽  
Jingjun Zhou ◽  
Uzair Aslam Bhatti ◽  
...  

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