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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kayvanrad, M.H. Sodagari, S. Avanaki, A.N. Ahmadi-Noubari, H. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of ECE, Nat. Univ. of Singapore, Singapore (Kayvanrad, M.H.) |
| Abstract | A novel reduced reference (RR) method of channel estimation for image transmission through lossy channels is presented. Estimation is based on the amount of distortion the low frequency content of the image or its histogram suffers during transmission. This distortion is computed by sending the low frequency content of the original image or the corresponding histogram to the receiver by means of a robust watermark. Simulations for different types of images and different channel losses yield large amounts of correlation between the estimated mean square error (MSE) and the structural similarity (SSIM) index. |
| Starting Page | 526 |
| Ending Page | 531 |
| File Size | 1058415 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424416875 |
| DOI | 10.1109/ISCCSP.2008.4537282 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-12 |
| Publisher Place | Malta |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image communication Computational modeling image transmission Watermarking Frequency estimation two dimensional wavelet transform Yield estimation histogram watermarking Histograms Channel estimation reduced reference quality assessment Mean square error methods Propagation losses Robustness |
| Content Type | Text |
| Resource Type | Article |
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