These conclusions are very significant for the SAR system design, image super resolution and image application.
这些结果对于SAR系统设计、SAR图像超分辨处理及SAR图像应用都有重要意义。
Image super resolution technology is a method that takes a series of low resolution images as input, and USES signal processing technology to obtain high resolution image.
图像超分辨率技术是指利用若干幅低分辨率图像作为输入，通过一系列信号处理的手段融合出具有更多高频细节信息的高分辨率图像的方法的总称。
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。
It uses the aliased information of multiple LR images with a different motion of the same scene to reconstruct the "super" resolution image which has even higher resolution than the original one.
超分辨率技术是一种利用同一场景的有相对位移的多帧低分辨率图像之间的混叠信息，来重建出比原始图像分辨率更高的超级分辨率图像的技术。
A novel region adaptive learning-based super resolution algorithm for human face images is proposed, which divides a face image into flat regions and detailed regions.
提出一种基于区域自适应学习的人脸图像超分辨率复原算法。
The goal of Super-resolution restoration is to draw a high-resolution image from a low-resolution ratio image array.
图像超分辨率复原的目的是从一个低分辨率图像序列中提取一幅高分辨率图像。
The purpose of this paper is to develop a new dynamic image analyzing technique with the ability of real time measurement on red blood cell membrane minute fluctuation based on super resolution.
探索以超分辨率理论，对单个活态红细胞的微小膜波动进行测量。通过建立模型，实现对细胞多个力学特性参量非侵入性连续动态测定。
Image super-resolution restoration and enhancement (SR) based on reconstruction is a typically ill-posed and high-dimensional problem, which needs effective regularization to stable the solution.
基于重建的超分辨率（SR）方法中，图像求解是典型的高维病态问题，需借助有效的正则来稳定求解。
A method of super resolution image restoration based on separation was proposed and the algorithm of adnate template was introduced.
提出了一种用于超分辨率复原的分离方法，并引入了级联模板算法。
However, due to the ill-posed nature of the super-resolution image reconstruction, the ringing artifacts can not be easily removed in the reconstruction process.
但是，由于超分辨率图像重构本身是一个病态求逆过程，在重构图像中所产生的边缘振荡效应往往很难在重构过程中予以消除。
The basic imaging model is discussed, and a novel algorithm based on steering kernel regression method as a regularization term for super resolution reconstruction of sequence image is proposed.
讨论了图像成像的基本模型，并提出了一种基于调整核回归函数作为正则项的序列图像重建算法。
The algorithm also provides a reliability measure of the estimated result, which was introduced into the super-resolution image reconstruction to overcome the influence of the estimation error.
给出了运动估计的置信度度量，并将其引入到图像恢复算法中，进一步克服了运动估计误差的影响。
Super resolution (SR) image reconstruction is a technique to recover a high resolution image from several low resolution images using the non-redundant information among them.
影像超分辨率重建是通过对多幅具有互补信息的低分辨率影像的处理，重构一幅高分辨率影像的技术。
This research shows that the RSNOM could detect the evanescent near field wave effectively, and the image with a super diffraction limit resolution was obtained.
成像研究表明该装置可对近场衰逝分量进行有效探测并实现了超衍射极限成像。
Finally, the global face image and local details are combined to the final face super-resolution results.
最后，将全局脸图像和局部细节信息相结合，得到最终的人脸超分辨率结果。
In this paper, a new joint Maximum a Posterior (MAP) formulation was proposed to integrate image registration into blind image Super-Resolution (SR) reconstruction to reduce image registration errors.
为了减小配准误差对盲超分辨率重建的影响，提出了一种影像配准和盲超分辨率重建联合处理的模型与方法。
In this paper we propose a blind super-resolution image restoration algorithm based on Support Vector Machines (SVM).
本文提出了一种基于支撑向量机的盲超分辨率图像复原算法。
A new super-resolution face image reconstruction method based on linear object-class theory is proposed to deal with the problem of low-resolution face images.
为了解决单幅低分辨率人脸图像重构问题，提出了基于线性物体类理论重构超分辨率人脸图像的新方法。
In Chapter 2, we consider using CGE method (i. e. CG with early stop criterion) to solve the super-resolution image reconstruction problem.
第二章，我们考虑用CGE方法(即带早停止准则的共轭梯度法)求解超解像度图像重构问题。
Multiframe super-resolution reconstruction is an active topic in image processing which is urgently needed in many military and civilian applications as well as theoretical interests.
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。
Multiframe super-resolution reconstruction is an active topic in image processing which is urgently needed in many military and civilian applications as well as theoretical interests.
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。
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