搜索资源列表
SEMINAR-OBJECTIVE
- ppt for OBJECTIVE QUALITY ASSESSMENT FOR COLOR-TO-GRAY IMAGE CONVERSION
Summary-of-picture
- 图像复杂度度量方法的综述,通过图像特征、信息、杂波等方面,全面度量图像的质量。-Picture complexity measure is reviewed by the image feature information, clutter, the full measure of the quality of the image.
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- 正在成像的物体的光谱反射率的重建对于在各种观察光源下再现颜色是重要的。在这项工作中,导出了一个简单的公式来评估一组旨在重建光谱反射率的彩色图像传感器的质量,并将其应用于多光谱图像采集系统。由于质量不仅取决于光谱灵敏度,还取决于系统中存在的噪声,所以不可能在没有其中存在噪声的情况下对一组传感器进行评估。因此,多光谱相机的噪声方差由新方案估算,并首次应用于评估。结果表明,实验结果与评估模型的预测吻合良好,估计噪声方差估计方法对评估是有用的。(The reconstruction of spectra
字典学习
- 一种基于KSVD字典学习的多任务超分辨率图像重构方法,主要解决现有方法在高放大因子下重构图像质量下降比较严重的问题(A multi task super-resolution image reconstruction method based on KSVD dictionary learning is mainly used to solve the problem that the quality of image reconstructed by the existing method i
DeepLearningforPassiveSyntheticApertureRadar
- 通过大量的数值模拟,我们的深度学习为基础的方法优于传统的稀疏编码方法在计算方面和重建图像质量,特别是当没有对发射机的信息是可用的。(our deep learning based method is better than the traditional method in calculation and the quality of image reconstruction, especially when no information is available on the transmit