(1. College of Mathematics and Econometrics, Hunan Univ, Changsha,Hunan410082,China;(2. College of Informatics, Guangdong Univ of Foreign Studies, Guangzhou,Guangdong510420,China) 在知网中查找 在百度中查找 在本站中查找
Based on the advantages of the Split Bregman method, which has faster convergence rate and can make the regularization parameter constant, we have proposed the Split Bregman method to solve the second step of LOT model for image denoising. Simulation results have shown that the new algorithm is faster than the original gradient descent algorithm and can restore images perfectly.
