For the traditional wavelet enhancement algorithm applied to medical CT image processing effect is not ideal.There are many problems, such as the loss of image details while enhancing the image, weakening the edge information of the target in the image and reducing the contrast of the image.In order to maintain good edge detail information, highlight sensitive information of CT image, and better reconstruct enhanced image, a medical CT image enhancement algorithm based on multi-view wavelet transform fusion was proposed.The algorithm using the multiplicative decomposition to get the detail of the original image and clustering of codominant method are used to get the original image is of significant figure and fusion by wavelet transform, and then to weigh the rule of image fusion, respectively for the high frequency weighted average and low frequency signals of the image reconstructed image to handle the big variance.Experimental results show that this method is superior to the existing image enhancement algorithms in terms of image sharpness and highlighting sensitive information, and has a good enhancement effect on CT images.