Application Of Wavelet Network In Medical Image Compression

With the extensive application in clinical, the amount of digital medical image, such as X-ray, CT, MRI, etc. increases rapidly day after day, the importance and necessity of medical image compression technical becomes more and more significant. Medical image compression is very important in image saving and transmission system, it can not only improve the image transmission rate ,shorten the transmission time, but also reduce the storage in the image saving.However, medical images are different from common images, they have their own characteristics. Medical image compression technical changes medical image bitmap information into another expression form which can reduce data amount. The purpose of image compression is to reduce the redundant information and avoid saving the same information repeatedly.Wavelet network is a kind of new artificial algorithm which combine the wavelet transformation with the neural network. This algorithm has been applied extensively to many fields although its theory is not perfect yet. This thesis proposes a kind of Wavelet neural network algorithm which has been used in the medical image compression, the experiment result shows that the method has a good compression effect.