Paper
15 May 2014 Simultaneous edge sensing compression and encryption for real-time video transmission
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Abstract
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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Nazar Al-Hayani, Naseer Al-Jawad, and Sabah Jassim "Simultaneous edge sensing compression and encryption for real-time video transmission", Proc. SPIE 9139, Real-Time Image and Video Processing 2014, 91390F (15 May 2014); https://doi.org/10.1117/12.2052630
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KEYWORDS
Video

Video compression

Image encryption

Wavelets

Discrete wavelet transforms

Chromium

Computer security

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