2) face image resolution
人脸图像分辨率
1.
Simulation experimental results show this method achieves the fact that the recognition performance under low face image resolution is almost the same as that under high one,and both recognition rate and efficiency are considered.
仿真实验结果表明,该方法能在人脸图像分辨率较低的情况下获得与高分辨率图像基本一致的识别效果,且同时兼顾识别率及识别效率。
3) image super-resolution
图像超分辨率
1.
On the base of the analysis of single image super-resolution reconstruction, the paper builds a new image degenerating model and discusses the similarities and differences between the proposed model and classic image restoration model, and then analyzes the algorithm implementation steps.
在分析单幅图像超分辨率重建问题的基础上 ,建立一种新的图像退化模型 ,并分析了提出的模型和经典图像恢复中模型的异同点 ,然后分析了算法实施步骤 ,针对提出的分层剥离算法 ,采用级联模板运算方法 ,从而简化了方程计算的复杂度 。
2.
On the basis of Har ri s theory of image super-resolution,the inconsistency in the traditional theory of image super-resolution is analyzed and the model of image formation is impr oved.
论文从Harris等人提出的图像超分辨率理论出发,分析了传统图像超分辨率理论的不妥之处,并在此基础之上对成像模型进行了改进。
5) super-resolution image
超分辨率图像
1.
this paper considers the estimation of the unknown parameter for the problem of reconstructing a super-resolution image from multiple under-sampled, shifted, and degraded frames.
讨论了从一组低采样降质的视频图像重建超分辨率图像中未知参数的估计问题。
6) blind super-resolution image restoration
超分辨率图像盲恢复
1.
To improve the boundary condition processing,the regularization processing,and the blurring parameter estimation of parametric blind super-resolution image restoration,an alternative iteration optimization is used to estimate the image blurring and high-resolution image.
改进了有参超分辨率图像盲恢复中的边界与正则处理以及模糊参数估计方法,用交替迭代优化来估计模糊参数和高分辨率图像,用Neumann边界图像模型和修改边界像素来避免边界错误,用近似重排系统矩阵的带结构矩阵,来构造求解高分辨率图像的预处理共轭梯度算法。
补充资料：高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条