Title :
The Application of Wavelet in an Image Super-Resolution Reconstruction
Author :
Xingmei, Li ; Liang, Chen ; Jin, Wang
Author_Institution :
China Univ. of Geosci., Wuhan, China
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.
Keywords :
image reconstruction; image resolution; wavelet transforms; averaging process; detail image; digital image acquisition process; filter banks; image degraded procedure; image super-resolution reconstruction; wavelet construction model; wavelet decomposition model; wavelet transforms; Charge coupled devices; Digital images; Image reconstruction; Image resolution; Interpolation; Laplace equations; Signal resolution; degraded model; image super-resolution reconstruction; wavelet decomposition;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.1383
