Image Interpolation Based on Wavelet
基于小波的图像插值方法

Image interpolation plays an important role in many applications of digital image. Some interpolation base functions, such as some time-limited functions, rectangle, triangle, bell, or cubic spline functions, and some precise functions, sinc function, have been used in signal or image interpolation. Meanwhile, a wavelet function has both of the satisfying properties for the interpolation base function, i. e. time-limited and precise. And the wavelet transformation gives a shortcut method for signal or image interpolation, which is the main idea of this paper. The new method can be applied not only to the general interpolation purpose but also to the image information synthesis and accumulation. The feasibility of the interpolation method applied in the image information synthesis and accumulation with frames of different radiance and the steps for images with coarse located corresponding points have also been discussed. The image interpolation experiments based on wavelet with 4 POLDER multiangular remote sensing images show that the new method is practical.