Research of Image Matching Algorithm Based on the Wavelet Transform and Bilinear Interpolation

Interpolation algorithm is adapted in pixel point processing of image-scaling,which reduces distortion and fuzzy of image.The interpolation reduction technology achieves important information of original image with minor information,as the interpolation amplification technology can improve the image resolution,resulting tends to appear block and jagged phenomenon.The existing commonly-used three interpolation algorithms(nearest neighbor interpolation,bilinear interpolation and bicubic interpolation) are analyzed.In order to recover the image as possible closer to the original image,a method of wavelet transformation combined with interpolation image restoration and allocation is proposed.Experiments show that the new method is advanced in peak signal-to-noise ratio,pixel difference ratio,mean-square deviation,comparing to the traditional direct bilinear interpolation together with wavelet and bilinear interpolation image reconstruction.It can refine the effect of image restoration,as well as adapting in image processing of different forms and sizes with universality and flexibility.