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Benaissa Mohamed

Work place: The University Tahri Mohamed Béchar, Béchar, Algeria.

E-mail: moh.benaissa@gmail.com

Website: https://www.researchgate.net/scientific-contributions/Mohamed-Benaissa-2203283946

Research Interests: Wireless Ad Hoc Network, Medical Image Computing, Image Processing, Embedded System

Biography

Mohamed BENAISSA obtained the Engineer degree in Electronics from university of Tlemcen, Algeria, and then a Magister in signals and systems from university of Tlemcen, Algeria and his Doctoral degree Es-Science from the University of Bechar, Algeria in 2013. Actually, He is an Associate Professor at University of Bechar, Algeria. His main interests are digital signal processing, Image processing, Medical image compression, turbo encoding schemes and iterative decoding over fading channels and wavelets transform.

Author Articles
Application of 16-State TCM-UGM and TCM for Improving the Quality of Compressed Color Image Transmission

By Benaissa Mohamed Bassou Abdesselam Beladgham Mohammed Taleb-Ahmed Abdelmalik Moulay Lakhdar Abdelmounaim

DOI: https://doi.org/10.5815/ijigsp.2014.10.02, Pub. Date: 8 Sep. 2014

The aim of this paper is to investigate the quality of transmitted color images using 16-state TCM-UGM or TCM channel code over Rayleigh fading channel. Considering SPIHT-based compression algorithm and image quality metrics (IQMs), the simulation results for throughput of 2 bit/s/Hz, showed that the communication system using TCM-UGM allows better performance compared to TCM and better protects the compressed color image during transmission. For transmission tests compressed colors images, the TCM-UGM system outperforms the performance of the TCM by 3 dB at BER = 10-5 and 4.59 dB at FER = 3.10-3. For example, for Lena color image, the 16-state TCM-UGM system gives best performance that the 16-state TCM system. The gain is the 5.02 dB and 17.90 % for the PSNR and MMSIM respectively.

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