College of Information Science and Engineering,Xinjiang University,Urumuqi 830046,China;
College of Information Science and Engineering,Xinjiang University,Urumuqi 830046,China;
College of Information Science and Engineering,Xinjiang University,Urumuqi 830046,China;
Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,Shanghai 200240,China;
Knowledge Engineering and Discovery Research Institute,Auckland University of Technology,Auckland 1020,New Zealand;
Image denoising; False Discovery Rate; Non-subsmapled contourlet transform; Soft threshold; Shift invariance;
机译:基于NSCT二元模型和变分贝叶斯阈值估计的图像去噪方法
机译:基于NSCT双变量模型的图像去噪方法和变分贝叶斯阈值估计
机译:基于NSCT域的遥感图像匹配基于改进的ORB
机译:基于自由分布式FDR阈值的NSCT遥感图像去噪
机译:对retinex理论中的阈值的探索,该阈值用于遥感图像的数字图像处理。
机译:一种快速高效的遥感图像自适应门限率控制方案
机译:基于NSCT变换和压缩检测的遥感图像多重特征融合