A Medical Image Denoising Arithmetic Based on Wiener Filter Parallel Model of Wavelet Transform

For the noise, blurry edge, bad contrast of the medical CT image, a medical CT image enhancing algorithm is presented based on Wiener filter of wavelet multi-scale transform in this article. Wavelet multi-scale analysis is used to decompose the image signal to different direction sub-image. It studies the different direction sub-pictorial information under the corresponding criterion by wavelet´s auto-adapted Wiener filter, and enhances the image by parallel form. Through the estimation of the model parameter, combining wavelet´s auto-adapted Wiener filter to denoise its corresponding coefficient of scale and its coefficient of wavelet, the enhanced image is obtained by wavelet reconstructing. The experimental result was shown that the proposed parallel scope model algorithm can retain the key image characters while removing the noise, and achieve a good enhancement of CT image.