Alfalou Ayman passed the Ph.D. in Telecommunications and signal processing from ENSTB-France and of the University of Rennes (1) in 1999. He held a Post-Doc position for one year at (ENSTB), consisting in designing and realizing an optical compact and high rate correlator. Since June 2000, He has been a Professor of Telecommunications and signal processing at ISEN-Brest (Institut Supérieur de l'Electronique et du Numérique). At ISEN, he created the Optical Signal and Image Processing Laboratory (Vision lab). His research interests are optical engineering, optical information processing (correlation, compression, encryption, 3D, … ), Signal and image processing, ICA. He has some PhD, Master, Engineering students. He has published over 110 refereed journal articles or confs on a wide variety of theoretical and experimental topics. He has organized or co-organized many conferences and special session; he is a Senior member of OSA, Senior member of IEEE, Senior member of SPIE and elected member of the Institute of Physics.
Publications (Jornal, Conf and PhD Thesis ): http://www.isen.fr/rubrique.asp?id_nas=59&inf=#4
Publications (Jornal, Conf and PhD Thesis ): http://www.isen.fr/rubrique.asp?id_nas=59&inf=#4
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The proposed design allows us to encrypt the information using a pseudo-random number generator (PRNG). Thus we achieved the two operations (compression and encryption) simultaneously and in a dependent manner which is a novelty in this kind of architecture.
Moreover, we investigated the hardware implementation of CABAC (Context-based adaptive Binary Arithmetic Coding) codec. The proposed architecture is based on optimized binarizer/de-binarizer to handle significant pixel rates videos with low cost and high performance for most frequent SEs. This was checked using HD video frames. The obtained synthesis results using an FPGA (Xilinx’s ISE) show that our design is relevant to code main profile video stream.
Face recognition using a non-zero-order correlation plane and a nonlinear joint transform correlator
2D real-time arithmetic operations using optical coherence properties: image processing applications
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