A novel energy functional minimization model for speckle noise removal
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Shenzhen Key Laboratory of Advanced Machine Learning and Applications, College of Mathematics and Statistics, Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen 518060, China

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    Abstract:

    In this paper, a novel energy functional minimization model is proposed for ultrasound images denoising. A controllable regularized term and the variational method are employed in the process of speckle noise. This model not only improves the plasticity of the model, but also improves the effect and efficiency of noise removal. The new model has different diffusion performance in different regions. At the same time, the diffusion performance is related to the parameters introduced by the proposed model. Numerical simulation results show that different parameters have different denoising effects, and the proposed model for speckle noise removal is superior to traditional models.

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CHEN Bo, ZOU Jin-bin, CHEN Wen-sheng, ZHANG Meng-yun. A novel energy functional minimization model for speckle noise removal[J]. Optoelectronics Letters,2019,15(5):386-390

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History
  • Received:December 25,2018
  • Revised:February 25,2019
  • Adopted:
  • Online: May 01,2020
  • Published: