Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (10): 174-176.

### Advanced Q-NLM algorithm application in medical image denoising

XIAO Guiren, XIE Fangsen, HU Haijiang

1. College of Physics and Communication Electronics, Jiangxi Normal University, Nanchang 330022, China
• Online:2015-05-15 Published:2015-05-15

### 改进型Q-NLM算法在医学图像去噪中的应用

1. 江西师范大学 物理与通信电子学院，南昌 330022

Abstract: The pixel quotient is combined with traditional nonlocal means algorithm, putting forward a kind of improved nonlocal means filtering algorithm. That is Q-NLM. In allusion to the problem of the impulsive noise in the traditional nonlocal means algorithm, the concept of the pixel quotient Q is come up with. It is used for judging the similarity of the initial pixel and impulse noise, and according to the calculated Q to divide pixel areas, the median filter is brought in to remove impulse noise points while adjusting different area threshold. Thus it can further reduce the influence of the mixed noise on filter in medical images. The relevant simulation experiment results show that the combination of the pixel quotient with traditional nonlocal means algorithm can improve the image PSNR, effectively keep the details of CT image while removing the mixed noise.