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。
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.
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。
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.
实验证明，考虑运动模糊的改进POCS超分辨率重建算法能够有效地克服振荡效应，提高图像分辨率。
Experimental results prove that the improved POCS algorithm considering the motion blurs can effectually reduce the oscillation effect and advance the image spatial resolution.
为了改善超分辨率重建图像的效果，提出了一种基于线过程模型的凸集投影方法。
In order to improve the superresolution reconstruction of image, a method of projections onto convex sets (POCS) based on the line process modeling is proposed.
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。
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.
然后通过迭代反投影算法进行超分辨率重建。
Secondly, the super-resolution reconstruction is implemented using the iterative back projection algorithm.
超分辨率图像重建技术就是人们获取高分辨率图像的一种很重要的方法。
The technology for rebuilding high resolution image is an important method for getting high resolution images.
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。
A dynamic adaptive filter for video sequence super resolution reconstruction is proposed.
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。
Quantization Constrain Set (QCS) was widely used as priori information about the coding process in super-resolution reconstruction of compressed video.
图像配准的精确性直接影响超分辨率重建的效果。
The result of the SR reconstruction will be affected by the accuracy of the registration directly.
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。
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.
对工业自动化中拍摄的CFA低分辨率图像的实验结果表明，我们改进后的算法能鲁棒、精确、高效地对彩色图像进行超分辨率重建。
The experimental results regarding to the LR CFA images captured in factory automation show that our improved algorithm can produce color SR images robustly, accurately and efficiently.
在一些领域，对超分辨率重建速度的要求比较高。
In some areas, it has a high requirement for the speed of super-resolution reconstruction.
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, 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.
该方法有效地保持了边缘特性，改善了超分辨率图像重建质量。
The experimental results show that the edges kept very well, and the performance of the reconstructed images is improved.
本文提出了一种超分辨率重建中运动矩阵的构造方法。
In this paper, a method of constructing the motion matrix is proposed.
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.
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。
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.
通过迭代求解法和高斯金字塔模型，快速精确地估计得到配准参数，采用凸集投影（POCS）算法对图像序列进行了超分辨率重建。
Based on the set theoretic formulation, a projection onto convex sets (POCS) algorithm is applied to find the solution to face image reconstruction.
压缩视频超 分辨率（SR）技术是利用 压缩后的低分辨率（LR）图像序列来 重建高分辨率（HR）图像的技术，是当前 视频超分辨率技术研究的热点。
Compressed video Super-resolution(SR)technique estimates High-resolution(HR)images from a sequence of Low-resolution(LR)observations, it has been a great focus for video Super-resolution.
压缩视频超 分辨率（SR）技术是利用 压缩后的低分辨率（LR）图像序列来 重建高分辨率（HR）图像的技术，是当前 视频超分辨率技术研究的热点。
Compressed video Super-resolution(SR)technique estimates High-resolution(HR)images from a sequence of Low-resolution(LR)observations, it has been a great focus for video Super-resolution.
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