Speckle Noise Removal Based on Adaptive Total Variation Model
For removing the speckle noise in ultrasound images,researchers have proposed many models based on energy minimization methods.At the same time,traditional models have some disadvantages,such as,the low speed of energy diffusion which can not preserve the sharp edges.In order to overcome those disadvantages,we introduce an adaptive total variation model to deal with speckle noise in ultrasound image for retaining the fine detail effectively and enhancing the speed of energy diffusion.Firstly,a new convex function is employed as regularization term in the adaptive total variation model.Secondly,the diffusion properties of the new model are analyzed through the physical characteristics of local coordinates.The new energy model has different diffusion velocities in different gradient regions.Numerical experimental results show that the proposed model for speckle noise removal is superior to traditional models,not only in visual effect,but also in quantitative measures.
Image denoising Speckle noise Total variation Diffusion properties
Bo Chen Jinbin Zou Wensheng Chen Xiangjun Kong Jianhua Ma Feng Li
Shenzhen Key Laboratory of Advanced Machine Learning and Applications,College of Mathematics and Sta Shenzhen Key Laboratory of Advanced Machine Learning and Applications,College of Mathematics and Sta School of Mathematical Sciences,Qufu Normal University,Qufu 273165,China Department of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China China Ship Scientific Research Center,Wuxi 214082,China
国际会议
广州
英文
191-202
2018-11-23（万方平台首次上网日期，不代表论文的发表时间）