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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Bibliographic Details
Published in:Modelling and simulation in engineering 2013-01, Vol.2013 (2013), p.1-7
Main Authors: Alwan, Nuha A. S., Hussain, Zahir M.
Format: Article
Language:English
Subjects:
Assessments
Colleges & universities
Computer engineering
Data compression
Digital imaging
Wavelet transforms
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Summary: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.
ISSN:1687-5591
1687-5605
DOI:10.1155/2013/818696