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机译:增强拉格朗日方法进行通用字典学习的图像去噪
Department ofBiomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China, Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China;
Department ofBiomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China;
Department ofBiomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China,College of Aeronautics and Astronautics, Shanghai Jiaotong University, Shanghai 200240, China;
CREATIS, CNRS I/MR 5220, Inserm U 630, INSA Lyon, University ofLyon 1, Lyon, France;
Department of Mathematics, Shanghai Jiaotong University, Shanghai 200240, China;
sparse representation; dictionary learning; augmented lagrangian; bregman iterative method; accelerated technique; iteratively reweighted norm; gaussian noise removal; impulse noise removal;
机译:使用基于补丁的约束分割增强拉格朗日收缩算法,基于多尺度UDCT字典学习的高度欠采样MR图像重建
机译:使用基于补丁的约束分割增强拉格朗日收缩算法,基于多尺度UDCT字典学习的高度欠采样MR图像重建
机译:基于聚类的自然图像去噪使用小波域中的字典学习方法
机译:图拉普拉斯算子和字典学习,用于图像去噪的拉格朗日方法
机译:在数字图像去噪中使用自适应字典的稀疏和冗余图像表示
机译:一种对视神经头的光学相干断层图像进行消噪的深度学习方法
机译:L1平均曲率图像去噪的新型增强拉格朗日方法