An efficient single image super resolution algorithm based on wavelet transforms

In this paper we introduce a single image super resolution algorithm based on wavelet transforms. To compensate the information loss due to the down sampling in DWT, we used stationary wavelet transform (SWT). We used inverse stationary wavelet transform which does not increase the image size, but it can reconstruct the detailsbetter than the other conventional methods. We also add bicubic interpolation, which is not used in the otherconventional methods. Finally, the estimated highresolution image has been rectified by the error back projection. Results show the proposed algorithm has a better performance comparing the state of the artalgorithms in reconstruction. The speed of proposed algorithm is faster than the other methods

Keywords:

resolution , wavelet transform , interpolation