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.
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.
所以本论文尝试对反投影重建图像进行图像处理，提高反投影图像的分辨率，以求得到较为清晰的图像。
The article try to make image manipulation and analysis to the Back Projection reconstruction image to enhance the resolving power and achieve a clearer image.
重建后的膜层结构图像的深度分辨率提高了一个数量级，图像也取得了更好的锐化、去噪的效果。
The depth resolution of reconstructed image was enhanced by one order of magnitude and the image became sharper and cleaner.
分析结果表明：可以通过牺牲压缩率，增加隐含层的神经元数来提高重建图像的质量。
The analysis shows that: by the sacrifice of compression ratio, the quality of the recovered image can be improved with the increase of the number of the neurons in the hidden layer.
本论文以提高图像空间分辨率和成像精度为目标，着重研究EIT图像重建算法。
This dissertation mainly studies EIT image reconstruction algorithms with the aim of increasing precision and spatial resolution of EIT.
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.
提出用重建的图像的质量来估价运动参数误差，并给出了误差面积和轮廓转折率误差二个函数。
A method of estimation of motion parameter error based on the quality of reconstructed image is suggested. That area error and contour transition turn error is used to be quality criteria.
目的解决少数据投影图像重建中分辨率差、伪影严重等问题。
Objective To solve the problem of low resolution and more artifacts in image reconstruction from incomplete projections.
第二步是解码过程，对编码图像进行滤波和重建，以便获得高分辨率的可视目标像。
The second step is decoded process, in which the coded image is filtered and reconstructed in order to obtain a visible object image with high resolution.
小波变换提供了一种图像的多分辨率分解重建的表示形式，这种小波分解能够有效的利用人类视觉系统的特性压缩图像。
Wavelet provides a compact multi-resolution representation and reconstruction of image, which makes it possible to exploit the property of Human Visual System for image coding.
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.
介绍了一种利用BP神经网络由低空间分辨率遥感图像序列重建得到一幅较高空间分辨率图像的算法。
BP neural network is used to reconstruct a high spatial resolution remote sensed image from low spatial resolution images sequences.
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.
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.
实验结果表明，该算法能获得高的压缩率，同时能保持较高的峰值信噪比和良好的重建图像视觉效果。
The experiments results show that the proposed approach can achieve higher compression ratio and PSNR, as well as better visual result.
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.
工业CT检测扫描数据量大，重建图像分辨率要求高，并且要求重建算法有很高的重建速度。
The Industrial Computed Tomography(ICT) inspection need deal with large processing data and requests high resolution of reconstruction image, thus demanding high-speed of reconstruction algorithm.
实验结果表明，采用集群并行加指令优化的方式，可将分辨率为2563的图像的重建速度提高到原来的29倍。
Results show that the reconstruction speed of the image with 2563 resolution is improved about 29 times via this method.
利用频谱解混叠方法和空间域迭代重建方法对低分辨率图像帧数大于等于4帧时的重建效果进行了研究。
The result of reconstructing a HR image is studied when the quantity of LR images is more than or equal 4 by using the spectral de-aliasing algorithm and the spatial iterative algorithm separately.
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.
介绍了一种利用BP神经网络由低空间分辨率遥感图像序列重建得到一幅较高空间分辨率图像的算法。
A BP neural network is used to reconstruct a high spatial resolution remote sensed image from low spatial resolution images sequences.
但由于血管的细微和图像分辨率的限制使分割成为困难，所以对于皮瓣的三维重建是个难题。
But because of the restrictions on minor vascular structures and image resolution, It is difficult to separate. Therefore, 3d reconstruction of the flap is a problem.
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.
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.
结论MSCT具有快速扫描、图像分辨率优良和强大的图像后处理功能，MSCT容积再现三维成像及多平面重建对颌面部外伤骨折的定位、定性诊断具有很高价值。
Conclusion MSCT has the merits of high speed scan, excellent discrimination and afterward process, and MSCT is of great value in localization and qualitative diagnosis of maxillofacial bone fractured.
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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