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...
Saved in:
Main Authors: | , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832555528440512512 |
---|---|
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. |
format | Article |
id | doaj-art-496beb801bfd496fabc0d457d0d0954a |
institution | Kabale University |
issn | 1687-5591 1687-5605 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
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 |