Wireless communication system is one that delivers multimedia and other data services to the users having smart devices that are capable of maintaining wireless link. Today’s wireless communication system standards are capable of broadcasting and delivering services related videos and images almost globally. Users equipped with any kind of wireless communication devices increasingly need to connect to the network and are required to receive and transmit multimedia data. In that, image transmission forms the major part of data communication. A number of parameters have to be taken care of, during its transmission. Transmitting an image as such, results in more power consumption and inefficient bandwidth utilization. Therefore, compression techniques are used, as a result of which the original image gets reduced in size. There are many compression, modulation and channel coding algorithms available. Among these, this paper aims at determining the most suitable of all those algorithms. Images are compressed using Discrete Cosine Transform (DCT). The compressed image data are encoded using [171 133] convolutional encoder. The encoded data is modulated using three modulation techniques namely Pulse Amplitude Modulation (PAM), Phase Shift Keying (PSK) and Quadrature Amplitude Modulation (QAM). As the noise is in direct proportion to the order of modulation, increasing the modulation order introduces distortions in the reconstructed image. Therefore, for the modulation techniques taken for analysis in this paper, the order of modulation is taken to be two. Now, the modulated data is transmitted through Additive White Gaussian Noise (AWGN) channel. At the receiver, the modulated image data are demodulated, decoded and reconstructed. Reconstructed image parameters such as compression ratio, Mean Square Error (MSE) and peak signal to noise ratio (PSNR) are calculated. Bit Error Rate (BER) performance is also analysed. Based on the analysis of the obtained parameters, a suitable algorithm for the transmission of compressed image is determined.
Volume 12 | Issue 1
Pages: 308-316
DOI: 10.5373/JARDCS/V12I1/20201158