Due to some inner and outer reseasons of image systerm

images which obtained by some sensors will be degraded unavoidably. As an effective technique to enhance the resolution and quality of images

Super-resolution technique is becoming a hot topic

which plays an important role in numerous applications of image processing and communication such as HDTV

target recognition

medical image processing and so on. The main purpose of this paper is to present a feasible super resolution to improve the resolution and quality of images. A lot of approaches have been developed including interpolative method

which is a most simple and direct method of super resolution. Some classicial interpolative methods will be introduced and analysised briefly in the first part of this paper

and then wavelet thansform is shortly described in order to provide the convenience for obtaining a new interpolative scheme. Considering the powerful advantages of Bézier surface method

which is very precision and can be implemented fast

the novel method combined wavlet transform with Bézier surface is described in this paper. This method has two merits at least

first it overcomes the shortcoming of traditional methods which are usually cause the degrading for image details

at the same time

this method is not complex due to the fast implementation of the Bézier surface interpolation. The experimental results show the computational feasibility of this method.