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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44630

EFFICIENT IMAGE ENCRYPTION ALGORITHM USING REGION-WISE GENERALIZED SINGULAR VALUE DECOMPOSITION

V. SURESH BABU, V.R. VIJAYKUMAR

Abstract

A new method for image encryption using Generalized Singular Value Decomposition (GSVD) is proposed in this paper. Also, the traditional confusion and diffusion based framework concept is not used in this paper, to reduce the time constraint. Here, the encryption method uses the elementwise GSVD. The GSVD decomposes any matrix of data into three portions with respect to another data matrix of same size. The secret image and the self generated random value are inputs for GSVD module and it decomposes the inputs into five different matrices. From the outputs of GSVD module, the ciphered image and the key are derived from the obtained decomposed data in a specific format. The self generated random value is a synchronous model. The separate key is not provided for this encryption method. The key size depends on the size of the ciphered image matrix. The generated ciphered image and the key are highly sensitive and robust. Because of that, proposed scheme is a less time consuming and less complex encryption and decryption method. Also, this work provides very good key sensitivity which is observed from the experiments, that means even a very small change in the key forbids the secret image to be perceived. The proposed work is compared with the state-of-art techniques using the quantitative parameters Encryption time, Number of Pixel Change Rate (NPCR), Unified Average Changing Intensity (UACI), Correlation Coefficient, Information Entropy and Key Space.

Keywords

Image Encryption, Generalized Singular Value Decomposition (GSVD), Synchronous Random Value Generator

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