机译:高效的单图像去雾和去噪:一种高效的多尺度相关小波方法
College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China,Xiamen Key Laboratory of Computer Vision and Pattern Recognition, Huaqiao University. Xiamen, 361021, China;
College of Computer Science and Technology, Huaqiao University, Xiamen, 361021, China,Xiamen Key Laboratory of Computer Vision and Pattern Recognition, Huaqiao University. Xiamen, 361021, China;
Department of Computer Science and Institute of Research and Continuing Education, Hong Kong Baptist University, Hong Kong SAR, China;
Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, 430074,China;
Department of Computer and Information Science, University of Macau, Macau SAR, China;
Image dehazing; Multi-scale correlated wavelet; Open dark channel model; Soft-thresholding;
机译:小波图像去噪的有效方法
机译:基于(CMT网)级联多尺度卷积神经网络和高效光估计算法的图像去吸附
机译:基于单值解压缩,多级DWT和小波融合的高效且鲁棒的水印方法与加扰医学图像
机译:Y-Net:具有小波结构相似损失功能的多尺度特征聚合网络,用于单幅图像去雾
机译:使用基于高阶统计小波的方法对单维和多维信号进行去噪。
机译:轻量级和高效的图像脱水网络通过现实世界朦胧场景的传输估算引导
机译:一种有效的小波图像去噪方法