机译:基于融合的弱光照图像增强方法
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, Fujian, China;
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, Fujian, China;
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, Fujian, China;
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, Fujian, China;
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, Fujian, China;
Department of Electrical Engineering, Columbia University, New York, NY, USA;
Image enhancement; Multi-scale fusion; Weakly illumination; Weights; Illumination adjustment;
机译:LightenNet:用于弱照明图像增强的卷积神经网络
机译:基于自适应融合的去噪技术,包括Sletletlet变换和总变异算法,用于医学图像的边缘保留增强
机译:用于遥感图像的多特征融合改变检测方法
机译:使用CNN和RETINEX理论增强弱发光图像
机译:使用相结合的数字和图像融合方法增强光学相干断层扫描图像的视觉对比度。
机译:基于色调校正的不同照明条件和基于融合的脱墨的水下图像增强方法
机译:不同光谱和空间分辨率的多频段图像的融合改变检测方法对比较研究