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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Xingmei Chen Liang Wang Jin |
| Copyright Year | 2010 |
| Abstract | On the basis of image super-resolution reconstruction, the wavelet decomposition model is used to simulate the model of image degraded procedure. So the wavelet construction model and method can be applied to image super-resolution reconstruction. Since the degraded procedures is very complex, the analysis is about the degraded images caused by the high frequencies components are attenuated by the averaging process in the digital image acquisition process. The choice of filter banks of wavelet and the prediction of detail image and the procedure of super-resolution reconstruction are discussed in the article. The experimental results show it is effective to apply the wavelet model to the model of image super-resolution reconstruction. |
| Starting Page | 5692 |
| Ending Page | 5695 |
| File Size | 509776 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424468805 |
| e-ISBN | 9781424468812 |
| DOI | 10.1109/iCECE.2010.1383 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Charge coupled devices Interpolation Image resolution Laplace equations Digital images Image super-resolution reconstruction Degraded model Image reconstruction Signal resolution Wavelet decomposition |
| Content Type | Text |
| Resource Type | Article |
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