Medical CT Image Denoising Method Based on the Correlation Property of Directional Coefficients

摘要

Because of many reasons, such as the medical imaging equipment, all of the medical images contain noise. So denoising hecomes one of the essential parts. One of the medical CT image denoising methods based on the correlation property of directionlet coefficients is proposed in this paper. The medical image is decomposed by applying the multidirectional frames and multidirectional bases of directionlet, the sequences of pixels of the different direction are extracted. According to the correlation property of directionlet coefficients in different direction of different scale, a correlation model is established, and then the genetic algorithm is applied to optimize the threshold of directionlet coefficients in every direction. The results of simulation experiment show that PSNR reaches 31. 05 db after denoising. The algorithm in this paper can be more effective in image denoising and better maintain the detail of the medical image.