Reversible Watermarking Method with Low Distortion for the Secure Transmission of Medical Images

作     者：Rizwan Taj Feng Tao Shahzada Khurram Ateeq Ur Rehman Syed Kamran Haider Akber Abid Gardezi Saima Kanwal 

作者机构：School of Computer and CommunicationLanzhou University of TechnologyLanzhouChina Faculty of ComputingThe Islamia University of BahawalpurBahawalpurPakistan Department of Electrical EngineeringGovernment College UniversityLahorePakistan College of Internet of Things EngineeringHohai UniversityChangzhouChina Department of Computer ScienceCOMSATS University IslamabadIslamabadPakistan 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2022年第130卷第3期

页      面：1309-1324页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1002[医学-临床医学] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0822[工学-轻工技术与工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work is supported by the National Natural Science Foundation of China(Grant 61762060) Educational Commission of Gansu Province,China(Grant 2017C-05) Foundation for the Key Research and Development Program of Gansu Province,China(Grant 20YF3GA016) 

主　　题：LSB reversible watermarking medical images security data distortion 

摘      要：In telemedicine,the realization of reversible watermarking through information security is an emerging research ***,adding watermarks hinders the distribution of pixels in the cover image because it creates distortions(which lead to an increase in the detection probability).In this article,we introduce a reversible watermarking method that can transmit medical images with minimal distortion and high *** proposed method selects two adjacent gray pixels whose least significant bit(LSB)is different from the relevant message bit and then calculates the distortion *** use the LSB pairing method to embed the secret matrix of patient record into the cover image and exchange pixel *** results show that the designed method is robust to different attacks and has a high PSNR(peak signal-to-noise ratio)*** MRI image quality and imperceptibility are verified by embedding a secret matrix of up to 262,688 bits to achieve an average PSNR of 51.657 *** addition,the proposed algorithm is tested against the latest technology on standard images,and it is found that the average PSNR of our proposed reversible watermarking technology is higher(i.e.,51.71 dB).Numerical results show that the algorithm can be extended to normal images and medical images.