An Image Denoising Method for High Frequency Noise Using the
Directional Local Intuitionistic Fuzzy Entropy
HUANG Shuo1,2, WANG Yan1, WANG Liping1, YANG Yue1, CAI Guochao1, WANG Feng1, WAN Suiren1
1. School of Biological Sciences and Medical Engineering, Southeast University, Nanjing Jiangsu 210096, China;
2. Shanghai United Imaging Ltd. Co., Shanghai 201807, China
Abstract：The removal of high frequency noise is an important research field in image noise suppression. In this paper, an
image high-frequency noise removal method based on the local intuitionistic fuzzy entropy (LIFE) was proposed. Based on the
directionality of the coefficients’ distribution on non-subsampled contourlet transform (NSCT) decomposition layers, an improved
LIFE method had been put forward to remove the noise in high-frequency layers. Experiments showed that our method could
improve the denoising effect of the high-frequency layers, and protect the textures of the image as well.
黄朔1,2，王琰1，汪丽平1，杨越1，蔡国超1，汪丰1，万遂人1. 应用图像的方向局部直觉模糊熵的图像高频噪声去噪方法[J]. 中国医疗设备, 2018, 33(10): 67-70.
HUANG Shuo1,2, WANG Yan1, WANG Liping1, YANG Yue1, CAI Guochao1, WANG Feng1, WAN Suiren1. An Image Denoising Method for High Frequency Noise Using the
Directional Local Intuitionistic Fuzzy Entropy. China Medical Devices, 2018, 33(10): 67-70.
