We first introduce algorithms of 2D texture super-resolution.
本文提出了一种简易的三维表面纹理超分辨率方法。
Then, we propose a new learning-based super-resolution algorithm for face images.
本文着重介绍了基于学习的人脸图像超分辨率算法。
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。
Secondly, the super-resolution reconstruction is implemented using the iterative back projection algorithm.
然后通过迭代反投影算法进行超分辨率重建。
A new super-resolution microscopy technique is providing researchers with never-before-seen detail of a cell membrane.
一项新的超分辨率显微镜技术为研究人员展示了他们前所未见的细胞膜的细节。
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。
A pupil super-resolution technique based on the Rayleigh Criterion as a PIV index is studied and presented in this paper.
基于瑞利判据作为PIV指标的光瞳超分辨技术，可以在不增加光学系统口径的条件下提高系统分辨率。
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。
The super-resolution algorithm based on modern spectrum analytical theory intends to improve DOA estimation quality in the presence of dense signals.
以现代（非线性）谱分析理论为基础的超分辨空间谱估计技术，目的在于解决密集信号环境中的信号源高分辨和高精度测向定位问题。
Quantization Constrain Set (QCS) was widely used as priori information about the coding process in super-resolution reconstruction of compressed video.
在压缩视频的超分辨率重建中，量化约束集(QCS)作为编码模型的先验信息被广泛采用。
The driving program of super-resolution display adapter and the programming method of processing program with 8087 macroassembler are discussed as well.
对超高分辨率显示适配器的驱动程序和用8087宏汇编实现预处理的编程方法也进行了讨论。
The general MUSIC algorithm is a super-resolution algorithm that can handle coherent signals, so it can be used in the height-finding of meter-wave radar.
由于广义MUSIC算法为能直接处理相干信号的阵列超分辨算法，因此可以将该算法应用于米波雷达测高当中。
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。
To solve the problem of poor resolution in passive millimeter wave (PMMW) imaging, we present an improved maximum a posteriori (MAP) super-resolution algorithm.
针对无源毫米波成像中图像分辨率低的问题，提出了一种改进的最大后验(MAP)超分辨算法。
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 simulation results show that the method can not only suppress the range sidelobes efficiently but also realize the range-velocity super-resolution successfully.
仿真结果表明，该方法不仅能有效地抑制距离旁瓣，而且还能实现目标的距离-速度超分辨。
Due to the existence of quantitative errors, interpolation techniques should be utilized to avoid overlaps and holes when constructing the warp matrix in super-resolution.
在构造运动矩阵时，为了避免量化误差造成的空洞或重叠，必须使用插值技术。
In this paper, we introduce the main factor during imaging and compression and discuss the importance of motion estimation and compensation in super-resolution construction.
该文分别从成像过程和压缩过程两个方面讨论了超分辨率重构过程需要考虑的因素，同时指出了运动估计和运动补偿在超分辨率重构中的重要性。
With its tremendous potential for understanding cellular biology now poised to become a reality, super-resolution fluorescence microscopy is our choice for Method of the Year.
高分辩率荧光显微镜是我们这一年的年度技术。由于它的巨大潜力，使得人们可以更真实地理解细胞生物学。
From the spectrum equalization point of view, this work explains the principle of the range super-resolution algorithms based on deconvolution and gives the limitation of the algorithms.
从频谱均衡的角度解释了去卷积方法能获得距离超分辨性能的原理。
Using space object images with super-resolution to obtain their geometrical form is necessary to observe and catalog space object, predict their future position and determine their orbits.
利用高清晰空间目标图像来获取空间目标的几何形态对于空间目标的观测和识别、未来位置的预测和轨道的确定等具有重要意义。
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。
In this paper, a novel spatiotemporal adaptive super-resolution reconstruction algorithm of video sequence based on MAP frame is proposed to overcome the weakness of conventional MAP algorithms.
针对传统MAP法存在的局限性，本文提出了一种基于MAP框架的时空联合自适应视频序列超分辨率重建算法。
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。
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。
In this paper, we present a method of signal processing to implement super resolution direction finding with single channel receiver.
本文提出一种新的利用单通道接收机实现方位超分辨的信号处理方法。
These propagation rules of Gaussian beam limited by the aperture could promote the applications of Gaussian beam in the optical communication and the optical super resolution.
得到的孔径光阑限制下高斯光束的传输规律为高斯光束在自由空间光通信和光学超分辨中的应用提供了理论基础。
These propagation rules of Gaussian beam limited by the aperture could promote the applications of Gaussian beam in the optical communication and the optical super resolution.
得到的孔径光阑限制下高斯光束的传输规律为高斯光束在自由空间光通信和光学超分辨中的应用提供了理论基础。
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