RNS-Based Embedding Scheme for Data Hiding in Digital Images

Yi, Yong; Zhou, Jun; Yan, Bo; Li, Yuqian

doi:10.1109/trustcom/bigdatase.2018.00207

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Residue number system is described as a non-weighted number system having numerous benefits in numerical computations. The inherent features in RNS such as the digit-to-digit computations, parallelism, fault tolerance, high computational speed and low power dissipation make it ideal for implementation in fields of communication [9,10], Digital Signal Processing (DSP) [14,26,32], intensive computations such as digital filtering, correlations, convolutions, direct digital frequency synthesis [6], Discrete Fourier Transform (DFT) computations [24], Fast Fourier Transform (FFT) computations, image processing [1,10,20,25,28] and cryptography [27,33]. RNS are based on the congruence relation.…”

Section: Residue Number Systemmentioning

confidence: 99%

Improved Perceptual Video Encryption Technique using Residue Number System

Alhassan¹,

Iddrisu

Daabo

2019

EJMS

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In this paper, we propose an enhanced perceptual video encryption technique to speed-up and secure cipher video transmitted across networks using Residue Number System (RNS). The technique proposes a new reverse converter with smaller dynamic range using the moduli set {2n-1, 2n, 2n+1} that is integrated into our previous work of [2]. After encryption, cipher video is encoded into three residual videos that have smaller pixel values and ideal for transmission across networks. Instead of transmitting the three (3) residual videos, the technique effectively transmits and decodes only two (2) of them back into the original video with same visual quality. Experimental results show that the technique enhances transmission speed and security of cipher video across networks.

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Section: Residue Number Systemmentioning

confidence: 99%

Improved Perceptual Video Encryption Technique using Residue Number System

Alhassan¹,

Iddrisu

Daabo

2019

EJMS

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“…Yi Yao, et.al (2018) proposed a novel data embedding method that was based on the residue number system. The proposed method helped in transforming the image cover and secret information into residues [10]. Since the residues represent the lowest levels of continuous-tone image that is very less sensitive to human eyes, the residues are considered as redundancy.…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Text Hiding Method in Image Processing using Enhanced MSB Technique

Talwar¹,

Bansal²,

Kaur³

2019

IJSCE

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The data hiding is known as a procedure which is used to achieve composite signals by embedding message signals into the host picture. Data hiding approach represents a class of processes which are implemented for embedding data into different formats. In this approach, secret message occurs along with the secret information. The steganography is defined as a process through which information produced from one source can be concealed into other sources. This thesis work presents a novel methodology for image steganography. The tested result demonstrated that the proposed technique shows its supremacy in terms of PSNR and MSE. The PSNR value of proposed approach is increased up to 15 percent in comparison with earlier approach. In comparison with earlier approach, the MSE value of proposed algorithm is decreased up to 10 percent.

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