Multiple Watermarking for Healthcare Applications

2018 ◽  
Vol 27 (1) ◽  
pp. 5-18 ◽  
Author(s):  
Aditi Zear ◽  
Amit Kumar Singh ◽  
Pardeep Kumar
Keyword(s):  
Medical Image ◽  
Back Propagation ◽  
Low Frequency ◽  
Singular Values ◽  
Back Propagation Neural Network ◽  
Gain Factor ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Healthcare Applications ◽  
Value Decomposition

AbstractIn this paper, an algorithm for multiple digital watermarking based on discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) was proposed for healthcare applications such as tele-ophthalmology, tele-medicine, tele-diagnosis, and tele-consultancy services. Multiple watermarks were used in this algorithm to reduce the consequences of medical identity thefts. In the embedding process, the cover medical image was decomposed into third-level DWT. Low-frequency bands (LH2 and LL3) were transformed by DCT, and then SVD was applied to DCT coefficients. Two watermarks in the form of images were also transformed by DCT and then SVD. The singular values of the watermark information were embedded in the singular value of the cover medical image. Watermarks were extracted using an extraction algorithm. In order to enhance the robustness performance of the image watermarks, back-propagation neural network was applied to the extracted watermarks to reduce the effects of different noise applied on the watermarked image. Results were obtained by varying the gain factor and the different cover image modalities. Experimental results were provided to illustrate that the proposed method is able to withstand a variety of signal processing attacks, and has been found to give excellent performance in terms of robustness and imperceptibility. The performance of the method was also compared with other reported techniques. Further, the visual quality of the proposed method was also evaluated by a subjective method.

Research of Digital Watermarking Algorithm Based on SVD and DWT

2011 ◽  
Vol 65 ◽  
pp. 385-388
Author(s):  
Ping Yang ◽  
Liang Yu Yang ◽  
Yu Jie Zhang
Keyword(s):  
Digital Watermarking ◽  
Low Frequency ◽  
Singular Values ◽  
Singular Value ◽  
Secret Message ◽  
Discrete Wavelet ◽  
Information Redundancy ◽  
Digital Multimedia ◽  
Multi Media ◽  
Value Decomposition

In order to protect the integrity and copyright, digital watermarking embeded secret message into the digital multi- media, which is not easy to detect the embedded watermarking, but determine the distinction using of information redundancy and randomness of digital multimedia. According to the characteristics of digital watermarking, the singular value decomposition (SVD) and discrete wavelet transform (DWT) algorithm are combined using the characteristics of SVD of image matrix and the features of multi-resolution of DWT. Therefore, a new digital watermarking algorithm of SVD is proposed in this paper. The singular values of each band of watermarking image are embedded into the coefficients of corresponding to the singular value of original image low-frequency band. The experimental results showed that the algorithm of the watermarking embedding and extraction had good robustness and effectiveness. The watermarking was robust and transparent.

scholarly journals Dual Image Signature Method using DWT and SVD in YCbCr Colour Space

2019 ◽  
Vol 9 (1) ◽  
pp. 1471-1476
Keyword(s):  
Singular Values ◽  
Singular Value ◽  
Digital Data ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Colour Space ◽  
Dual Image ◽  
Dual Images ◽  
Value Decomposition ◽  
Image Signature

The digital data can be easily modified and copied, so it is not secure, so owner authentication is required to prevent this unauthorised access of digital data. Image signature (water mark) is required to embed with digital data. The Discrete Wavelet Transform (DWT) supports image signature algorithms possess dual resolution attaining imperceptibility. The Singular Value Decomposition (SVD) supports to achieving the robustness in order to add the signature information to the singular values of the diagonal matrix.. In this work implementing dual image signature method using DWT and SVD in YCbCr colour space. The cover image is embedded with dual images to achieve better security from unauthorized persons. The proposed method improves the robustness and imperceptibility of the cover image.

A Framework for Image Encryption on Frequency Domain

2019 ◽  
pp. 247-259
Author(s):  
Zhe Liu ◽  
Mee Loong Yang ◽  
Wei Qi Yan
Keyword(s):  
Image Encryption ◽  
Digital Watermarking ◽  
Logistic Map ◽  
Low Frequency ◽  
Singular Value ◽  
Encryption Algorithm ◽  
Discrete Wavelet ◽  
Secret Key ◽  
Value Decomposition ◽  
Image Encryption Algorithm

In this chapter, the authors propose an improved image encryption algorithm based on digital watermarking. The algorithm combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) together in a DWT-DCT-SVD framework to improve the robust watermarking technique. The secret image is embedded into both high-frequency and low-frequency sub-bands of the host image; this makes it difficult to be attacked in all the sub-bands. To reduce the size of a secret key, the authors use a logistic map to generate random images so as to replace the host images. They tested the algorithm by using five types of attacks and the results indicate that the proposed algorithm has higher robustness than traditional chaotic scrambling method and the DRPE method. It shows strong resilience against the five types of attacks as well as statistical attacks.

Tamper Detection and Self-Recovery Watermarking Scheme Based on DWT-SVD

2011 ◽  
Vol 225-226 ◽  
pp. 614-618
Author(s):  
Yu Ping Hu ◽  
Jun Zhang ◽  
Hua Yin ◽  
Yi Chun Liu ◽  
Ying Hong Liang
Keyword(s):  
High Frequency ◽  
Wavelet Transformation ◽  
Low Frequency ◽  
Singular Value ◽  
Tamper Detection ◽  
Intentional Content ◽  
Discrete Wavelet ◽  
Watermark Embedding ◽  
Value Decomposition ◽  
Watermarking Scheme

This paper studied the image tamper detection and recovery watermarking scheme based on the discrete wavelet transformation(DWT) and the singular value decomposition (SVD).By the property of DWT and SVD , we design two watermarks which are embedded into the high-frequency bands of the DWT domain.One watermark is from the U component of the SVD domain and used for detecting the intentional content modification and indicating the modified location, and another watermark is from the low-frequency of DWT and used for recovering the image. The watermark generation and watermark embedding are disposed in the image itself. The experimental results show that the proposed scheme can resist the mild modifications of digital image and be able to detect and recovery the malicious modifications precisely.

scholarly journals A Robust Medical Images Watermarking Using FDCuT-DCT-SVD

2020 ◽  
Vol 13 (6) ◽  
pp. 266-278
Author(s):  
Ledya Novamizanti ◽  
◽  
Ida Wahidah ◽  
Ni Wardana ◽  
◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Discrete Cosine Transform ◽  
High Frequency ◽  
Medical Image ◽  
Medical Images ◽  
Singular Values ◽  
Singular Value ◽  
Watermark Image ◽  
Value Decomposition

One way to prevent image duplication is by applying watermarking techniques. In this work, the watermarking process is applied to medical images using the Fast Discrete Curvelet Transforms (FDCuT), Discrete Cosine Transform (DCT), and Singular Value Decomposition (SVD) methods. The medical image of the host is transformed using FDCuT so that three subbands are obtained. High Frequency (HF) subband selected for DCT and SVD applications. Meanwhile, SVD was also applied to the watermark image. The singular value on the host image is exchanged with the singular value on the watermark. Insertion of tears by exchanging singular values does not cause the quality of medical images to decrease significantly. The experimental results prove that the proposed FDCuT-DCT-SVD algorithm produces good imperceptibility. The proposed algorithm is also resistant to various types of attacks, including JPEG compression, noise enhancement attacks, filtering attacks, and other common attacks.

scholarly journals Hybrid multiple watermarking technique for securing medical images of modalities MRI, CT scan, and X-ray

2020 ◽  
Vol 10 (3) ◽  
pp. 2349
Author(s):  
Imane Assini ◽  
Abdelmajid Badri ◽  
Aicha Sahel ◽  
Abdennaceur Baghdad
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Singular Values ◽  
Hadamard Transform ◽  
Discrete Wavelet ◽  
Resonance Imaging ◽  
X Ray ◽  
Multiple Watermarking ◽  
Magnetic Resonance Imaging Mri ◽  
Value Decomposition

In order to contribute to the security of sharing and transferring medical images, we had presented a multiple watermarking technique for multiple protections; it was based on the combination of three transformations: the discrete wavelet transform (DWT), the fast Walsh-Hadamard transform (FWHT) and, the singular value decomposition (SVD). In this paper, three watermark images of sizes 512x 512 were inserted into a single medical image of various modalities such as magnetic resonance imaging (MRI), computed tomography (CT), and X-Radiation (X-ray). After applying DWT up to the third level on the original image, the high-resolution sub-bands were being selected subsequently to apply FWHT and then SVD. The singular values of the three watermark images were inserted into the singular values of the cover medical image. The experimental results showed the effectiveness of the proposed method in terms of quality and robustness compared to other reported techniques cited in the literature.

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