Data Computation and Secure Encryption Based on Gyrator Transform using Singular Value Decomposition and Randomization.

A digital scheme based on singular value decomposition (SVD) encrypted using Gyrator transform is proposed to enhance the security of the system. In this technique, plain input image is multiplied with another image and is then masked with random phase mask (RPM) along with Double random Phase Encoding (DRPE) in gyrator domain. Then obtained image is decomposed into segments [U, S, V] using SVD and is then each decomposed segment is randomized to get three encrypted image. It will increases the key space and also increases the number of parameters which makes it difficult for an attacker to find exact key to recover original image. The robustness of the proposed cryptosystem has been analysed on the basis of different parameters by simulating on MATLAB 8.1.0 (R2012b). The experimental results are provided to highlight the effectiveness, robustness and suitability of the proposed cryptosystem and to prove the feasibility and validity of the proposal. [ABSTRACT FROM AUTHOR]