DWT and DCT-based compressed image transmission over AWGN using C-QAM

Abstract

Image transmission in noisy channel demands integrity of image, less transmission time, and faster processing. These can be achieved when the transmitted image is compressed. Nowadays, various types of compression methods are used for image compression. In this paper, DCT and DWT are applied for compression of image. Performance analysis of QAM for DCT- and DWT-based compressed image transmissions over AWGN channel is shown in this work. In addition, for better transmission efficiency and achieving the required bandwidth 32 cross-constellations QAM (C-QAM) modulation scheme is used. Furthermore, for measuring performance of image quality, PSNR and MSE values are taken into account. The simulation results reveal that with lower signal-to-noise ratio, raised cosine filter exhibits better performance than employing no filter. Inter-symbol interference (ISI), which plays an important role in image transmission, degrades the image quality, which may be eliminated by employing filter.