FFT-OFDM for compressed image transmission: Performance using structural similarity

While root-mean squared error (RMSE) is a good indicator of error in a received image, it does not always take into account the structure of the image and the way images are perceived by the human eye. Using the newly-proposed structural similarity image measure (SSIM), wavelets previously studied b...

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Bibliographic Details
Main Authors: Neville, K.L., Hussain, Z.M.
Format: Conference Proceeding
Language:English
Subjects:
Autocorrelation
Baseband
Computer errors
Discrete wavelet transforms
Humans
Image analysis
Image coding
Image communication
MATLAB
Transmitters
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Summary:While root-mean squared error (RMSE) is a good indicator of error in a received image, it does not always take into account the structure of the image and the way images are perceived by the human eye. Using the newly-proposed structural similarity image measure (SSIM), wavelets previously studied by the authors were analysed again. Results showed a close relationship between RMSE and SSIM, and using a combination of both techniques the Daubechies wavelet family gave slightly better quality images than Biorthogonal family. The auto-correlation of the received images was also used to quantify structural loss.
ISSN:2162-1020
2162-1039
DOI:10.1109/ATC.2008.4760519