1) Overweight rate
超重率
2) Standardized overweight rate
标化超重率
3) super-resolution reconstruction
超分辨率重建
1.
Research on Super-Resolution Reconstruction;
超分辨率重建问题的研究
2.
Research on the Algorithm of Super-resolution Reconstruction of Infrared Images Based on MAP;
基于MAP的红外图像超分辨率重建算法研究
3.
Learning-based super-resolution reconstruction
基于学习的超分辨率重建技术
4) super-resolution reconstruction
超分辨率重构
1.
A novel algorithm based on sub-pixel motion for super-resolution reconstruction of images is proposed.
提出了一种全新的、利用半像素运动信息进行超分辨率重构的快速算法。
2.
The research work focuses on the super-resolution reconstruction by the image sequences on two dimensions, which is a technique of estimating a high-resolution image from image sequences having slight displacement on two dimensions.
本文主要针对基于序列图像的二维超分辨率图像重构技术进行研究,该技术是通过获取一系列在二维空间上互有位移的低分辨率图像,并应用超分辨率重构算法得到一幅高分辨率的图像。
3.
This paper presents a fast algorithm for image super-resolution reconstruction based on the Kronecker product of matrices.
基于观测模型的图像超分辨率重构算法是研究较多的方法,观测模型包含两个维数很大的降采样矩阵和模糊矩阵,这两个矩阵均可以表示为两个维数相对较低的矩阵的Kronecker积。
5) super resolution reconstruction
超分辨率重建
1.
A dynamic adaptive filter for video sequence super resolution reconstruction is proposed.
针对视频序列的超分辨率重建,提出了一种动态自适应滤波方法。
2.
An adaptive filter for video image sequence super resolution reconstruction is proposed on the basis of the weighted least square and PDE regularization in this paper.
在加权最小二乘的基础上,结合PDE正则化,提出了一种视频图像序列超分辨率重建的自适应滤波方法。
3.
Aiming at the problems in process of reconstruct images for super resolution reconstruction algorithm based on Maximum A Posteriori(MAP) ,a super resolution reconstruction based on Huber-Markov Random Field(HMRF) prior model is proposed.
针对基于最大后验概率(MAP)的超分辨率重建算法在重建图像过程中存在的问题,提出一种基于Huber-马尔可夫随机场(HMRF)先验模型的超分辨率重建方法,采用HMRF作为图像先验模型,对图像进行分段超分辨率重建。
6) super-resolution
超分辨率重建
1.
Learning-based super-resolution reconstruction of face image
基于学习的人脸图像超分辨率重建方法
2.
The dissertation investigates several key issues of super-resolution of video and image sequences including blur parameter estimation, block based motion estimation and regularization based ima
多帧图像的超分辨率重建技术已被证明是一种行之有效的解决上述问题的方法。
补充资料：电导率(见电阻率)
电导率(见电阻率)
conductivity
d!日nd日O}已电导率(eonduetivity)见电阻率。
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