Tang L., Song H., Chen M., Chen Y., 2016, A New Video Super-resolution Reconstruction Algorithm Based on Compressive Sensing, Chemical Engineering Transactions, 51, 421-426.
Compressive Sensing(CS) theory can reconstruct the original images from the less measurements with using the priors of the image sparse representation. The CS theory is applied into the video super-resolution(SR) reconstruction, and a new algorithm based on wavelet transform is proposed in this paper. Firstly, wavelet transform is used to decompose the low resolution image so as to get the low frequency and high frequency sub bands, then the sub bands are reconstructed respectively by using CS method based on the orthogonal matching pursuit(OMP). Finally, the reconstruction image can be get by the wavelet inverse transform. The experimental results show that proposed algorithm can obtain better reconstruction image visual effect and has higher precision. Under different iterations and magnification level the quality of the reconstruction image is also better.
