Performance analysis of image transmission with various channel conditions/modulation techniques

Marwa Jaleel Mohsin, Wasan Kadhim Saad, Bashar J. Hamza, Waheb A. Jabbar*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    13 Citations (SciVal)


    This paper investigates the impact of different modulation techniques for digital communication systems that employ quadrature phase shift keying (QPSK) and quadrature amplitude modulation (16-QAM and 64-QAM) to transmit images over AWGN and Rayleigh fading channels for the cellular mobile networks. In the further steps, wiener and median filters has been adopted to the simulation are used at the receiver side to remove the impulsive noise present in the received image. This work is performed to evaluate the transmission of two dimensional (2D) gray-scale and color-scale (RGB) images with different values from signal to noise ratios (SNR), such as; (5, 10 and 15) dB over different channels. The correct conclusions are made by comparing many of the observed Matlab simulation results. This was carried out through the results that measure the quality of received image, which is analyzes in terms of SNRimage peak signal to noise ratio (PSNR) and mean square error (MSE).
    Original languageEnglish
    Article number14172
    Pages (from-to)1158-1168
    Number of pages11
    JournalTelkomnika (Telecommunication Computing Electronics and Control)
    Issue number3
    Publication statusPublished (VoR) - 1 Jun 2020


    This work is supported in part by Engineering Technical College-Najaf, Al-Furat Al-Awsat Technical University and in part by the Universiti Malaysia Pahang ( via Research Grant UMP-IBM Centre of Excellence RDU190304.

    FundersFunder number
    Al-Furat Al-Awsat Technical University
    Engineering Technical College-Najaf
    Universiti Malaysia PahangRDU190304


      • (PSNR)
      • (RGB) images
      • AWGN
      • Gray-scale and color-scale
      • Mean square error (MSE)
      • Peak signal to noise ratio
      • Rayleigh fading channel


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