Image Encryption and Decryption Based on Reformed System Transformation

A recent study proposed an alternate approach of simultaneous input and state estimation (ASISE) for linear time-invariant continuous-time stochastic systems. This method utilizes a reformed system transformation technique to convert the original system into one that can reflect all online estimable unknown inputs in the measurement equation. This approach may reduce the computational complexity of the estimation pro-cess. This study further explores the extension of the ASISE for discrete-time stochastic systems and its application in designing an image encryption and decryption system.