超重率,Overweight rate英语短句,例句大全

超重率,Overweight rate
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

英文短句/例句

1.Research on the Algorithm of Super-resolution Reconstruction Based on MAP;基于MAP的超分辨率重建算法研究
2.MAP-based Technology Study of Image Super-resolution Restoration;基于MAP技术图像超分辨率重建的研究
3.Research on the Algorithm of Superresolution Reconstructed of Infrared Sequences Image红外序列图像超分辨率重建算法研究
4.Blind Super-Resolution Reconstruction and Face Hallucination图像盲超分辨率重建和人脸幻想技术
5.Analysis and Simulation of Super-Resolution Reconstruction from Compressed Video压缩视频超分辨率重建的研究与实现
6.Image Super-resolution Based On Wavelet-Contourlet Transform基于小波-Contourlet变换的图像超分辨率重建
7.Improved Image Super-resolution Reconstruction Algorithm Based on L1-normL1范数的图像超分辨率重建改进算法
8.Super Resolution Reconstruction Based on HMRF Prior Model基于HMRF先验模型的超分辨率重建
9.Stable Super Resolution Reconstruction Algorithm in Image Analysis影像鉴定中的超分辨率重建稳定算法
10.Super-resolution reconstruction of ALOS-PRISM remote sensing imagesALOS-PRISM遥感影像超分辨率重建
11.POCS Super-resolution Reconstruction From Image Sequences序列图像的POCS超分辨率重建方法
12.On Motion Model Selection in Image Super-resolution Reconstruction图像超分辨率重建中的运动模型选择
13.Robust super-resolution reconstruction algorithm based on total variation基于总变分的鲁棒的超分辨率重建算法
14.Study of the Super-Resolution Reconstruction with Image Sequence of Simultaneous Scene;同视域多帧视觉影像超分辨率重建技术研究
15.Interpolation and Fusion Approaches in Image Super-Resolution Reconstruction;面向超分辨率重建的图像放大与融合方法
16.Research of Video Compression Based on Super-Resolution;基于超分辨率重建的视频图像压缩方法的研究
17.Research on Super-resolution Reconstruction Oriented Image Registration;面向超分辨率重建的图像配准方法研究
18.The Image Super-resolution Reconstruction Based on Markov Random Field基于Markov随机场的超分辨率图像重建

相关短句/例句

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。