Abstract
With the development of human society and the advance of human civilization, people have more and more knowledge to master. Some scientific knowledge and technology that no well-known before to most people are also slowly began to be accepted and understanding. In recent years wavelet theory has been interested by a broad range of subjects because it’s advantage in signal processing, image processing, voice and image coding, speech recognition and synthesis, multi-scale edge extraction and reconstruction, what’s more, the development of Medical Image promote the wavelet and medicine to be combined. In this paper, the author introduce the principle of two-dimensional wavelet base image decomposition and the image re-organized. under condition of choose right primitive image ascertains we choose the right wavelet analysis modulus. The author also has done research on image compression, image elimination, image strengthen, image smooth Handled and integration of image processing by Two-dimensional wavelet analysis, through the actual operation to prove feasibility of application that wavelet in the medical image processing.