Department of information physics and engineering, Nanjing University of Science and Technology, Nanjing, China, 210094;
Department of information physics and engineering, Nanjing University of Science and Technology, Nanjing, China, 210094;
Department of information physics and engineering, Nanjing University of Science and Technology, Nanjing, China, 210094;
Department of information physics and engineering, Nanjing University of Science and Technology, Nanjing, China, 210094;
Department of information physics and engineering, Nanjing University of Science and Technology, Nanjing, China, 210094;
sparsity regularization; split Bregman iteration; image deblurring; image decomposition;
机译:稀疏表示的基于图像分解的盲图像反卷积模型
机译:基于动画片纹理分解的两种算法增强射线照相图像
机译:基于卡通纹理图像分解的多焦点图像融合
机译:基于动画片纹理分解的图像去毛刺模型,使用基于帧的稀疏表示
机译:基于稀疏表示模型的多色荧光原位杂交(M-FISH)图像分析。
机译:基于多样性密度和稀疏表示模型的高光谱图像改进的分类方法
机译:基于稀疏表示的图像分解红外小目标检测
机译:基于总变差的图像卡通纹理分解。