An Image Cryptosystem Using Chaotic Baker Map in DFT

The encrypted data play a valuable role in image processing applications especially during transmission. For fast and secure image encryption, chaotic maps are applied to improve image encryption efficiency as it is highly sensitive to system parameters initial values and has a large key space. This paper introduced a secure algorithm for images encryption and decryption by using chaotic Baker Map in the discrete Fourier transform (DFT). The proposed method employs baker map in the frequency domain to act on the transformed image coefficients which achieves high encryption efficiency. Simulation for statistical analysis using MATLAB are designed and tested. The achieved results demonstrated the superiority of the proposed approach with respect to encryption quality, statistical, information entropy, maximum deviation, and irregular deviation, differential, and noise immunity tests.