Abstract: Under the circumstances of without changing the existing hardware device,and taking into account that wavelet theory had been developing rapidly in recent years,this paper presented the image super-resolution algorithm based on wavelet transform.After direct neighborhood interpolation,low resolution image will be decomposed into four different Sub-band with DWT and at the same time is directly processed by SWT.High frequency band will be amended from using SWT to DWT,so as to fix the estimated coefficient.Finally,a high resolution output image can be obtained with high frequency band and the input image being modified by inverse discrete wavelet transform(IDWT).Experiments show that compared with the traditional bilinear interpolation and bicubic interpolation,the peak signal-to-noise ratio PSNR of the algorithm presented in this paper is improved.

Key words: Image processing,Super resolution,Wavelet transform,Neighborhood interpolation