Video compression and encryption became very essential in a secured real time video transmission. Applying both
techniques simultaneously is one of the challenges where the size and the quality are important in multimedia
transmission. In this paper we proposed a new technique for video compression and encryption. Both encryption and
compression are based on edges extracted from the high frequency sub-bands of wavelet decomposition. The
compression algorithm based on hybrid of: discrete wavelet transforms, discrete cosine transform, vector quantization,
wavelet based edge detection, and phase sensing. The compression encoding algorithm treats the video reference and
non-reference frames in two different ways. The encryption algorithm utilized A5 cipher combined with chaotic logistic
map to encrypt the significant parameters and wavelet coefficients. Both algorithms can be applied simultaneously after
applying the discrete wavelet transform on each individual frame. Experimental results show that the proposed
algorithms have the following features: high compression, acceptable quality, and resistance to the statistical and bruteforce
attack with low computational processing.
Video compression and encryption became an essential part in multimedia application and video conferencing in particular. Applying both techniques simultaneously is one of the challenges where the size and the quality are important. In this paper we are suggesting the use of wavelet transform in order to deal with the low frequency coefficients when undertaking the encryption on the wavelet high frequency coefficients while accomplishing the compression. Applying both methods simultaneously is not new. In this paper we are suggesting a way to improve the security level of the encryption with better computational performance in both encryption and compression. Both encryption and compression in this paper are based on edges extraction from the wavelet high frequency sub-bands. Although there are some research perform the edge detection on the spatial domain, but the number of edges produced based on wavelet can be dynamic which have an effect on the compression ratio dynamically. Moreover, this kind of edge detection in wavelet domain will add different level of selective encryption.
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