Image quality assessment for different wavelet compression techniques in a visual communication framework

Authors:
Nuha A. S. Alwan;Zahir M. Hussain
Affiliations:
Department of Computer Engineering, College of Engineering, Baghdad University, Baghdad, Iraq;Department of Computer Science, College of Education, University of Kufa, Kufa, Iraq and School of Electrical & Computer Engineering, RMIT, Melbourne, Australia
Venue:
Modelling and Simulation in Engineering
Year:
2013

Citing 8
Cited 0

Digital Image Processing (3rd Edition)

Digital Image Processing (3rd Edition)
Complex wavelet structural similarity: a new image similarity index

IEEE Transactions on Image Processing
Higher order orthogonal moments for invariant facial expression recognition

Digital Signal Processing
Content-partitioned structural similarity index for image quality assessment

Image Communication
Rayleigh fading channels in mobile digital communication systems .I. Characterization

IEEE Communications Magazine
Rayleigh fading channels in mobile digital communication systems .II. Mitigation

IEEE Communications Magazine
Image quality assessment: from error visibility to structural similarity

IEEE Transactions on Image Processing
Image quality assessment based on improved structural SIMilarity

PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing

Quantified Score

Hi-index	0.00

Visualization

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 subbandcompressed 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.