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A novel image encryption framework based on markov map and singular value decomposition

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TLDR
A novel yet simple encryption technique is proposed based on toral automorphism, Markov map and singular value decomposition (SVD) and a reliable decryption scheme is proposed to construct original image from encrypted image.
Abstract
In this paper, a novel yet simple encryption technique is proposed based on toral automorphism, Markov map and singular value decomposition (SVD). The core idea of the proposed scheme is to scramble the pixel positions by the means of toral automorphism and then encrypting the scrambled image using Markov map and SVD. The combination of Markov map and SVD changed the pixels values significantly in order to confuse the relationship among the pixels. Finally, a reliable decryption scheme is proposed to construct original image from encrypted image. Experimental results demonstrate the efficiency and robustness of the proposed scheme.

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Citations
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Discrete fractional wavelet transform and its application to multiple encryption

TL;DR: A novel encryption scheme is proposed for securing multiple images during communication and transmission over insecure channel by discretizing continuous fractional wavelet transform and chaotic maps.
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ECG Data Encryption Then Compression Using Singular Value Decomposition

TL;DR: Experimental results prove the first ETC approach for processing ECG data using the singular value decomposition technique to be an effective technique for assuring data security as well as compression performance forECG data.
Proceedings ArticleDOI

A new image encryption based on chaotic systems and singular value decomposition

TL;DR: Simulation results justify the feasibility of the proposed scheme in image encryption purpose and show the ability to enforce security in chaotic systems and singular value decomposition.
Proceedings ArticleDOI

An efficient & secure encryption scheme for biometric data using holmes map & singular value decomposition

TL;DR: Experimental results shows that the proposed algorithm is lossless in nature, robust against statistical attacks and has high key sensitivity, and low PSNR values indicate thatThe proposed algorithm provides a high level of perceptual security for the biometric data.
Proceedings ArticleDOI

A secure image encryption algorithm based on polar decomposition

TL;DR: A novel image encryption technique is proposed based on reference sets with some prime numbers and polar decomposition using a recursive random number generation process, and a reliable decryption process has been presented to reconstruct the original image.
References
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Image compression and encryption using tree structures

TL;DR: This project outlines the project on image coding for mobile wireless environments and investigates hierarchical data structures and related algorithms, and preliminary results are encouraging.
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Image data compression-encryption using G-scan patterns

TL;DR: This paper presents an efficient image compression-encryption methodology by using fractals based on the principles and ideas reflected by the family of fractal based languages (Scan) and is mainly motivated for the compression and encryption of 2D digital images.
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Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences

TL;DR: Skew tent chaotic sequences are compared against the widely used pseudorandom sequences, indicating the superiority of the former in watermarking applications and the minimum number of samples required for reliable watermark detection is investigated.
Journal ArticleDOI

New approach to image encryption

TL;DR: A new cryptographic method for encrypting still images is proposed, designed on the basis of the base- switching lossless image compression algorithm that simultaneously possesses both image encryption and lossless compression abilities.
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