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>

Combining Digital Signature with Local Binary Pattern-Least Significant Bit Steganography Techniques for Securing Medical Images

2020 ◽  
Vol 10 (6) ◽  
pp. 1288-1293
Author(s):  
K. N. Madhusudhan ◽  
P. Sakthivel
Keyword(s):  
Digital Signature ◽  
Local Binary Pattern ◽  
Medical Images ◽  
Image Authentication ◽  
Reversible Watermarking ◽  
Cover Image ◽  
Least Significant Bit ◽  
New Approach ◽  
Different Types ◽  
Separate File

The image authentication is generally based on two different types of techniques: watermarking and digital signature. In watermarking methods, embedded watermarking is often imperceptible and it contains either a specific ID of producer or codes related to content that are used for authentication. Normally a separate file is stored, digital signature is a non-repudiation and encrypted version of the information extracted from the data. A digital signature can be attached to the data to prove the originality and integrity. The proposed work presents a new approach to steganography of medical images that uses modified Least Significant Bit (LSB) based on the Local Binary Pattern (LBP) pattern. As a first step, cover image has been divided as blocks of 3×3 non overlapping masks. Then, the pixel embedding position (clock wise or anti-clock wise) has to be identified using LBP operator. The value of the LBP operator determines how and where to embed secret image pixel. Later, using LSB method, pixel values will be embedded in the cover image pixel. In order to provide the integrity of the data, the proposed work also presents Reversible Watermarking (RW), a Digital Signature (DS) technique. The proposed algorithm of steganography experimented on few medical images and achieved better efficiency with respect to MSE and PSNR values and same is reported in this paper.

scholarly journals Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

2021 ◽  
Vol 2021 ◽  
pp. 1-22
Author(s):  
Sondes Ajili ◽  
Mohamed Ali Hajjaji ◽  
Abdellatif Mtibaa
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Turbo Code ◽  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Aes Algorithm ◽  
Dct Domain ◽  
Arnold’S Cat Map ◽  
Novel Method ◽  
Aes Encryption Algorithm

We propose a novel method for medical image watermarking in the DCT domain using the AES encryption algorithm. First, we decompose the original medical image into subblocks of 8 × 8. Besides, we apply the DCT and the quantization, respectively, to each subblock. However, in the DCT domain, an adequate choice of the DCT coefficients according to the quantization table in the middle frequencies band is performed. After that, we embed the patient’s data into the corresponding medical image. The insertion step is carried out just after the quantization phase. To increase the robustness, we encrypt the watermarked medical images by using the AES algorithm based on chaotic technique. Arnold’s cat map is used to shuffle the pixel values, and a chaotic Henon map is utilized to generate an aleatory sequence for the AES algorithm. The shuffled watermarked image is encrypted using the modified AES algorithm. The constant of Weber is used to choose the suitable visibility factor for embedding a watermark with high robustness. To control identification, after application of attacks, we use the serial turbo code for correction of the watermark to recover the data inserted. The average peak signal-to-noise ratio (PSNR) of the medical images obtained is 61,7769 dB. Experimental results demonstrate the robustness of the proposed schema against various types of attacks.

scholarly journals Medical Image Authentication using Stationary Wavelet Transformation and Singular Value Decomposition

2019 ◽  
Vol 8 (3) ◽  
pp. 953-958
Keyword(s):  
Singular Value Decomposition ◽  
Medical Image ◽  
Wavelet Transformation ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Image Authentication ◽  
Transformation Method ◽  
Singular Value ◽  
Invariance Property ◽  
Value Decomposition

he proposed paper work is implemented using Stationary Wavelet Transformation (SWT) with Singular Value Decomposition (SVD).Even though, there are many other transformations, the Stationary Wavelet Transformation method is chosen for its shift invariance property. The designed method has three steps; the first step is the decomposing of the Medical image into sub-bands using SWT to find the value of sub band and as a second step is to apply SVD, third step will combine both the images with scaling factor. The experiments were conducted over gray scale of MRI and CT Medical images. The statistics of proposed method indicates that imperceptibility of Watermarked Medical images have a Peak Signal to Noise Ratio (PSNR) value of 50 DB for medical images. The robustness is ensured by having Correlation Coefficient (CC) of 1 for the retrieved watermark images. Security for the watermark is extended by encrypting the watermark with chaotic sequence.

Enhancing the Security of Exchanging and Storing DICOM Medical Images on the Cloud

2018 ◽  
Vol 8 (1) ◽  
pp. 154-172 ◽  
Author(s):  
O. Dorgham ◽  
Banan Al-Rahamneh ◽  
Ammar Almomani ◽  
Moh'd Al-Hadidi ◽  
Khalaf F. Khatatneh
Keyword(s):  
Digital Signature ◽  
Medical Image ◽  
Medical Images ◽  
Software Implementation ◽  
Symmetric Encryption ◽  
Hybrid Encryption ◽  
Encryption Algorithms ◽  
Asymmetric Encryption ◽  
And Storage ◽  
Image Format

Medical image information can be exchanged remotely through cloud-based medical imaging services. Digital Imaging and Communication in Medicine (DICOM) is considered to be the most commonly used medical image format among hospitals. The objective of this article is to enhance the secure transfer and storage of medical images on the cloud by using hybrid encryption algorithms, which are a combination of symmetric encryption algorithms and asymmetric encryption algorithms that make the encryption process faster and more secure. To this end, three different algorithms are chosen to build the framework. These algorithms are simple and suitable for hardware or software implementation because they require low memory and low computational power yet provide high security. Also, security was increased by using a digital signature technique. The results of the analyses showed that for a DICOM file with size 12.5 Mb, 2.957 minutes was required to complete the process. This was totaled from the encryption process took 1.898 minutes, and the decryption process took 1.059 minutes.

scholarly journals AN OPTIMIZED ENCRYPTION BASED STEGANOGRAPHY MODEL TO SECURE MEDICAL IMAGES USING METAHEURISTIC TECHNIQUE.

2020 ◽  
Vol 9 (10) ◽  
pp. 133-142
Keyword(s):  
Data Privacy ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Optimization Technique ◽  
Correlation Coefficients ◽  
Relevant Information ◽  
Discrete Wavelet ◽  
Secret Data ◽  
Decomposition Approach ◽  
Proposed Model

The implementation of a secret data sharing algorithm along with water marking, steganography and cryptography can have various applications besides medical data privacy. It can be used for improving the authentication ability of confidential data too, so the demand of this type of approaches increases rapidly. We know that, Steganography is a scientific technique that is used to provide safe communication through multimedia carrier, for example, a combination of confidential information might be in the form of images, audio, and video files. If this feature is visible, the attack point is open, so the goal here is always to hide the existence of relevant information. Steganography has a variety of useful applications. But like any science, it can be used for bad intentions. In this research, medial image steganography model is designed to provide the security while transmitting the information in the form of a medical image by utilizing the concept of Discrete Wavelet transformation (DWT) as a decomposition approach with Modified Jamal Encryption Algorithm (MJEA) encryption. In addition the concept of Particle Swarm Optimization (PSO) as an optimization technique used to find out the better hiding location in the medical images. To provide high security different processes are implemented such as pre-processing that is used to resize and conversion of the image with image decomposition. At last, the performance parameters such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), entropy and correlation coefficients are measured and compared with the existing work to validate the proposed model.

scholarly journals Enhanced Medical Image Watermarking Scheme with CLA-HE& DWT, SVD Transforms

2018 ◽  
Vol 7 (3.12) ◽  
pp. 1281
Author(s):  
Srinivasarao Gajula ◽  
Rajesh V
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Image Watermarking ◽  
Scaling Factor ◽  
Security Requirements ◽  
Watermarking Scheme ◽  
Evaluation Parameters ◽  
Clear Information

In order to get clear information regarding patient it is necessary to enhance medical images like MRI, CT scan, ultrasound etc.  For clinical diagnosis, we have to transmit it through the communication network. During this process information must be protected from malicious users. In this process these images are manipulated, so to protect these images we have to follow some security requirements. In this paper, we are increasing the quality of the image by using enhancement with clahe technique and that enhanced image is watermarked for security purpose by using DWT, SVD transforms with a scaling factor as uniform distribution function. The performance evaluation parameters will give better results for medical as well as under water images. The obtained results are very helpful for integrity of medical images. The technique will provide better response for medical images. This method will give good results in terms of improvement in output, Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE).  

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.

scholarly journals A New Method to Remove Noise in Magnetic Resonance and Ultrasound Images

2010 ◽  
Vol 3 (1) ◽  
pp. 81 ◽  
Author(s):  
M. A. Yousuf ◽  
M. N. Nobi
Keyword(s):  
Image Processing ◽  
Magnetic Resonance ◽  
Noise Reduction ◽  
Medical Image ◽  
Medical Images ◽  
Signal To Noise Ratio ◽  
Ultrasound Image ◽  
Medical Image Processing ◽  
Experimental Results ◽  
Signal To Noise

In medical image processing, medical images are corrupted by different type of noises. It is very important to obtain precise images to facilitate accurate observations for the given application. Removing of noise from medical images is now a very challenging issue in the field of medical image processing. Most well known noise reduction methods, which are usually based on the local statistics of a medical image, are not efficient for medical image noise reduction. This paper presents an efficient and simple method for noise reduction from medical images. In the proposed method median filter is modified by adding more features. Experimental results are also compared with the other three image filtering algorithms. The quality of the output images is measured by the statistical quantity measures: peak signal-to-noise ratio (PSNR), signal-to-noise ratio (SNR) and root mean square error (RMSE). Experimental results of magnetic resonance (MR) image and ultrasound image demonstrate that the proposed algorithm is comparable to popular image smoothing algorithms.Key words: Magnetic resonance image; Ultrasound image; PSNR; SNR; RMSE.© 2011 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.doi:10.3329/jsr.v3i1.5544                J. Sci. Res. 3 (1), 81-89 (2011)

scholarly journals Protection of Health Imagery by Region Based Lossless Reversible Watermarking Scheme

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
R. Lakshmi Priya ◽  
V. Sadasivam
Keyword(s):  
Digital Signature ◽  
Medical Images ◽  
Region Of Interest ◽  
Reversible Watermarking ◽  
Least Significant Bit ◽  
Watermarking Scheme

Providing authentication and integrity in medical images is a problem and this work proposes a new blind fragile region based lossless reversible watermarking technique to improve trustworthiness of medical images. The proposed technique embeds the watermark using a reversible least significant bit embedding scheme. The scheme combines hashing, compression, and digital signature techniques to create a content dependent watermark making use of compressed region of interest (ROI) for recovery of ROI as reported in literature. The experiments were carried out to prove the performance of the scheme and its assessment reveals that ROI is extracted in an intact manner and PSNR values obtained lead to realization that the presented scheme offers greater protection for health imageries.

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