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.