scholarly journals Reversible Watermarking in Medical Image Using RDWT and Sub-Sample

Cryptography ◽  
2020 ◽  
pp. 480-497
Author(s):  
Lin Gao ◽  
Tiegang Gao ◽  
Jie Zhao
Keyword(s):  
Medical Image ◽  
Image Watermarking ◽  
Reversible Watermarking ◽  
Encryption Algorithm ◽  
Discrete Wavelet ◽  
Embedding Capacity ◽  
Watermark Embedding ◽  
Watermarking Scheme ◽  
Redundant Discrete Wavelet Transform ◽  
Image Encryption Algorithm

This paper proposed a reversible medical image watermarking scheme using Redundant Discrete Wavelet Transform (RDWT) and sub-sample. To meet the highly demand of the perceptional quality, the proposed scheme embedding the watermark by modifying the RDWT coefficients. The sub-sample scheme is introduced to the proposed scheme for the enhancement of the embedding capacity. Moreover, to meet the need of security, a PWLCM based image encryption algorithm is introduced for encrypting the image after the watermark embedding. The experimental results suggests that the proposed scheme not only meet the highly demand of the perceptional quality, but also have better embedding capacity than former DWT based scheme. Also the encryption scheme could protect the image contents efficiently.

Reversible Watermarking in Medical Image Using RDWT and Sub-Sample

2015 ◽  
Vol 7 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Lin Gao ◽  
Tiegang Gao ◽  
Jie Zhao
Keyword(s):  
Medical Image ◽  
Image Watermarking ◽  
Reversible Watermarking ◽  
Encryption Algorithm ◽  
Discrete Wavelet ◽  
Embedding Capacity ◽  
Watermark Embedding ◽  
Watermarking Scheme ◽  
Redundant Discrete Wavelet Transform ◽  
Image Encryption Algorithm

This paper proposed a reversible medical image watermarking scheme using Redundant Discrete Wavelet Transform (RDWT) and sub-sample. To meet the highly demand of the perceptional quality, the proposed scheme embedding the watermark by modifying the RDWT coefficients. The sub-sample scheme is introduced to the proposed scheme for the enhancement of the embedding capacity. Moreover, to meet the need of security, a PWLCM based image encryption algorithm is introduced for encrypting the image after the watermark embedding. The experimental results suggests that the proposed scheme not only meet the highly demand of the perceptional quality, but also have better embedding capacity than former DWT based scheme. Also the encryption scheme could protect the image contents efficiently.

Reversible Watermarking in Digital Image Using PVO and RDWT

2018 ◽  
Vol 10 (2) ◽  
pp. 40-55
Author(s):  
Lin Gao ◽  
Tiegang Gao ◽  
Jie Zhao ◽  
Yonglei Liu
Keyword(s):  
Digital Image ◽  
Visual Masking ◽  
Image Watermarking ◽  
Visual Quality ◽  
Reversible Watermarking ◽  
Discrete Wavelet ◽  
Digital Image Watermarking ◽  
Embedding Capacity ◽  
Watermarking Scheme ◽  
Redundant Discrete Wavelet Transform

This article proposed a reversible digital image watermarking scheme using PVO and Redundant Discrete Wavelet Transform (RDWT). The PVO was introduce to the proposed scheme to enhance the embedding capacity. By embedding the watermark in the RDWT coefficients, the proposed scheme exploited the visual masking property of RDWT to achieve better visual quality. Also, the proposed scheme has better performance on embedding capacity because the RDWT has several sub-band coefficients for embedding. The experimental results on natural and medical images suggests that the proposed scheme could meet the demand of perceptional quality with better embedding capacity than former schemes.

Reversible Watermarking in Medical Images Using Sub-Sample and Multiple Histogram Modification

2020 ◽  
Vol 13 (4) ◽  
pp. 75-90
Author(s):  
Lin Gao ◽  
Yunjie Zhang ◽  
Guoyan Li
Keyword(s):  
Medical Image ◽  
Visual Masking ◽  
Medical Images ◽  
Image Watermarking ◽  
Visual Quality ◽  
Discrete Wavelet ◽  
Embedding Capacity ◽  
Histogram Modification ◽  
Watermarking Scheme ◽  
Redundant Discrete Wavelet Transform

This paper proposed a reversible medical image watermarking scheme using multiple histogram modification (MHM) and redundant discrete wavelet transform (RDWT). The MHM was introduced to the proposed scheme to enhance the embedding capacity. By embedding the watermark in the RDWT coefficients, the proposed scheme exploited the visual masking property of RDWT to guarantee the visual quality. Also, the proposed scheme has better performance on embedding capacity because the RDWT has several sub-band coefficients for embedding. The experimental results on medical images suggests that the proposed scheme could meet the demand of perceptional quality with better embedding capacity than former schemes.

scholarly journals Mean Square Error Optimization to Authenticate Multi-Modality Medical Images in Wavelet Domain

2018 ◽  
Vol 7 (3.27) ◽  
pp. 265
Author(s):  
S K. Jayanthi ◽  
K Sridevi
Keyword(s):  
Mean Square Error ◽  
Medical Image ◽  
Image Watermarking ◽  
Discrete Wavelet ◽  
Mean Square ◽  
Rounding Error ◽  
Pixel Intensity ◽  
Patient’S Information ◽  
Watermarking Scheme ◽  
Error Optimization

Medical image watermarking which hides patient’s information in the medical image ensures its imperceptibility and at the same time provides robustness to the information that is embedded. Current research scenario embeds the authenticated message as watermark in the frequency domain to get watermarked image which has most of its values as real numbers. Since pixel intensity values must be represented as integers, the watermarked image is converted into spatial domain where the rounding error problem occurs and the embedded message cannot be extracted to prove its authenticity. In proposed work, a new watermarking scheme in Discrete Wavelet Transform (DWT) domain based on Genetic Algorithm (GA) is implemented to ensure correct retrieval of embedded watermark by optimizing Mean Square Error (MSE) measure.  

scholarly journals Multi-Biometric Watermarking Scheme Based on Interactive Segmentation Process

2019 ◽  
Vol 63 (4) ◽  
pp. 263-273 ◽  
Author(s):  
Rasha Thabit
Keyword(s):  
Personal Information ◽  
Image Watermarking ◽  
Ease Of Use ◽  
Embedding Capacity ◽  
Interactive Segmentation ◽  
Security Systems ◽  
Recognition Process ◽  
Iris Image ◽  
Watermark Embedding ◽  
Watermarking Scheme

Iris-based security systems are highly recommended because of their security and ease of use. Different watermarking techniques have been presented to provide security while exchanging or storing iris images. The previous iris image watermarking techniques have successfully reached their aims, however, they suffer from some limitations such as the distortions that are presented in the iris region because of the watermark embedding process, the limited embedding capacity, and the lack of robustness against unintentional attacks. On the other hand, nowadays, the biometric-based security systems have directed their interest towards multi-biometric techniques in order to improve the performance of the individual’s recognition process. This paper presents a new multi-biometric watermarking (MBW) scheme in which the features of the fingerprint image and some personal information are embedded in the iris image. To avoid the abovementioned limitations, the proposed scheme presents an interactive segmentation algorithm (ISA) and a Slantlet transform based watermark embedding method. The proposed ISA prevents any distortion in the iris region which is a beneficial feature for the iris image recognition process. The experimental results proved the efficiency of the proposed ISA in comparison with the Hough transform based methods in terms of accuracy, embedding capacity, and execution time. The proposed MBW scheme performs better in comparison with the state-of-the-art methods in terms of the intactness of the iris region, the robustness against unintentional attacks, and the watermark embedding capacity.

Watermarking berbasis Redundant Discrete Wavelet Transform dan Arnold Transform pada Citra Medis

2021 ◽  
Vol 13 (2) ◽  
pp. 48-55
Author(s):  
Ledya Novamizanti ◽  
Irma Safitri ◽  
Hafizhan Bhamakerti Arindaka ◽  
Iwan Iwut Tritoasmoro
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Medical Image ◽  
Medical Images ◽  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Arnold Transform ◽  
Image Sharpening ◽  
Redundant Discrete Wavelet Transform

In telemedicine, data transmission in digital medical images and electronic medical records through the internet is vulnerable to various threats of theft and manipulation. Image watermarking is needed to provide authentication and security to medical images. This paper proposes an image watermarking scheme based on Redundant Discrete Wavelet Transform (RDWT) and Discrete Cosine Transform (DCT) with watermark encryption using Arnold transform. First, the original host medical image was decomposed into four subbands using RDWT. Then, DCT is applied to the LH subband of the RDWT. On the other hand, the watermark is scrambled using Arnold transform to ensure identity security. The singular value of the watermarked image is obtained by modifying the singular value of the host image and the watermark. Tests were carried out on different medical images, namely X-ray, MRI, CT, and ultrasound, with a watermark in a proprietary logo. The host medical image is the same size as the watermark image. The result of this study can provide high authentication, imperceptibility and security in medical images, with an average PSNR value of 65.67 dB, SSIM 1, BER 0, NC 1. This scheme is resistant to JPEG compression, noise addition, filtering, image sharpening, image enhancement, geometric operations, motion blur, image sharpening, and histogram equalization.

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