Kind of super-resolution method of CCD image based on wavelet and bicubic interpolation

In order to maintain the original information of the CCD images,to improve the spatial resolution of image,to observe and analyze the details of the images,this paper studied on various super-resolution methods.This paper proposed the improved super-resolution method based on wavelets and bicubic interpolation.It transformed low-resolution images of gray-scale,and considered it as the low-resolution image in an inverse wavelet transform,recoveried the super-resolution image,then got an average of with the image of low-resolution's bicubic interpolation.Applied this method in CCD images,improved the spatial resolution in the visual,and made the peak signal to noise ratio 25.524 4 dB.Experimental results show that using this method in low-resolution image can get higher PSNR and better image's details effect than those only using bicubic interpolation in the whole wavelet domain or those using the original image as the low-frequency image in an inverse wavelet transform of the bicubic interpolation or those only using the bilinear.The experiment results show that this method is an effective way for improving the CCD image's resolution.