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Modelling and Simulation in Engineering
Volume 2013, Article ID 818696, 7 pages
http://dx.doi.org/10.1155/2013/818696
Research Article

Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication Framework

1Department of Computer Engineering, College of Engineering, Baghdad University, Baghdad 10001, Iraq
2Department of Computer Science, College of Education, University of Kufa, Kufa 54003, Iraq
3School of Electrical & Computer Engineering, RMIT, Melbourne, VIC 3000, Australia

Received 11 May 2013; Accepted 30 September 2013

Academic Editor: Azah Mohamed

Copyright © 2013 Nuha A. S. Alwan and Zahir M. Hussain. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Images with subband coding and threshold wavelet compression are transmitted over a Rayleigh communication channel with additive white Gaussian noise (AWGN), after quantization and 16-QAM modulation. A comparison is made between these two types of compression using both mean square error (MSE) and structural similarity (SSIM) image quality assessment (IQA) criteria applied to the reconstructed image at the receiver. The two methods yielded comparable SSIM but different MSE measures. In this work, we justify our results which support previous findings in the literature that the MSE between two images is not indicative of structural similarity or the visibility of errors. It is found that it is difficult to reduce the pointwise errors in subband-compressed images (higher MSE). However, the compressed images provide comparable SSIM or perceived quality for both types of compression provided that the retained energy after compression is the same.