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

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 s...

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Main Authors: Nuha A. S. Alwan, Zahir M. Hussain
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2013/818696
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author Nuha A. S. Alwan
Zahir M. Hussain
author_facet Nuha A. S. Alwan
Zahir M. Hussain
author_sort Nuha A. S. Alwan
collection DOAJ
description 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.
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series Modelling and Simulation in Engineering
spelling doaj-art-496beb801bfd496fabc0d457d0d0954a2025-02-03T05:48:02ZengWileyModelling and Simulation in Engineering1687-55911687-56052013-01-01201310.1155/2013/818696818696Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication FrameworkNuha A. S. Alwan0Zahir M. Hussain1Department of Computer Engineering, College of Engineering, Baghdad University, Baghdad 10001, IraqDepartment of Computer Science, College of Education, University of Kufa, Kufa 54003, IraqImages 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.http://dx.doi.org/10.1155/2013/818696
spellingShingle Nuha A. S. Alwan
Zahir M. Hussain
Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication Framework
Modelling and Simulation in Engineering
title Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication Framework
title_full Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication Framework
title_fullStr Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication Framework
title_full_unstemmed Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication Framework
title_short Image Quality Assessment for Different Wavelet Compression Techniques in a Visual Communication Framework
title_sort image quality assessment for different wavelet compression techniques in a visual communication framework
url http://dx.doi.org/10.1155/2013/818696
work_keys_str_mv AT nuhaasalwan imagequalityassessmentfordifferentwaveletcompressiontechniquesinavisualcommunicationframework
AT zahirmhussain imagequalityassessmentfordifferentwaveletcompressiontechniquesinavisualcommunicationframework