机译:高动态范围图像显着性检测的多曝光分解融合模型
Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China|Shenzhen Univ Guangdong Lab Artificial Intelligence & Digital E Shenzhen 518060 Peoples R China;
Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen 518060 Peoples R China|Shenzhen Univ Guangdong Lab Artificial Intelligence & Digital E Shenzhen 518060 Peoples R China;
City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China;
Jiangxi Univ Finance & Econ Sch Informat Management Nanchang 330013 Jiangxi Peoples R China;
Tencent AI Lab Shenzhen 518057 Peoples R China;
City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China;
City Univ Hong Kong Dept Comp Sci Hong Kong Peoples R China;
Adaptation models; Saliency detection; Brightness; Predictive models; Feature extraction; Integrated circuit modeling; Dynamic range; High dynamic range; brightness adaptation; image saliency detection; deep learning;
机译:多曝光多视图图像的高动态范围图像生成和编码
机译:梯度场多曝光图像融合,实现高动态范围图像可视化
机译:压缩域中的视觉注意力建模:从图像显着性检测到视频显着性检测
机译:多曝光图像编码可实现高效的高动态范围图像压缩
机译:用于高动态范围图像边缘检测的多重滤波过程。
机译:用于提取多种疾病检测的胶囊内窥镜图像中显着特征模式的多个线性判别模型
机译:多次曝光高动态范围成像的反虚反射算法比较