A Medical CT Image Enhancing Algorithm Based on the Mixture Scope Model of Wavelet Multi-Scale Transform

For the noise, blurry edge, bad contrast of the medical CT image, this article presents a medical CT image enhancing algorithm based on the mixture scope model of wavelet multi-scale transform. It uses wavelet multi-scale analysis to decompose the image signal to different direction sub-image, studies the different direction sub-pictorial information under the corresponding criterion by the different method mixer action´s form, and enhances the image by the mixer action territory. Through the estimation of the model parameter, combining waveletpsilas auto-adapted Wiener filter with the improved wavelet partial threshold value denoising to enhance the image, the enhanced image is obtained by wavelet reconstructing. The experimental result indicated that the proposed model algorithm can retain the key image characters while removing the noise, making the good enhancement obviously.