We propose three novel algorithms for video encryption and decryption. The algorithms also introduce additional one- level of encryption key into the existing methods. Data compression properties of the DWT (Discrete Wavelet Transform) are utilized to make the algorithm faster. The new algorithms
retain the robustness of existing image encryption-decryption algorithms. A video is a collection of frames and a frame is similar to an image i.e. it can be segregated into three primary color channels viz. R, G and B. These channels are compressed by the proposed methods by using two times DWT 2 (2-D Discrete Wavelet Transform). The compressed frame-channels are encrypted using 2-D FRT (The 2- D fractional Fourier transform) and random phase masks in two successive iterations. The encrypted channels are merged by two times application of IDWT 2 (2-D Inverse Discrete Wavelet Transform), generating a color encrypted frame. Decryption process is the inverse of the encryption process. Simulations are performed and the results of these simulations verify the proposals made in the new algorithms.
Period of study: - Wavelet Transform, Fractional Fourier Transform, Chaos, Random Phase Mask, Computational Complexity, video encryption.