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Super resolution process using some different method. Thanks to Bahadir Gunturk for the original source.
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数字图像处理中的常用图，LEANNA图，大米图等等，超多图像。-Digital image processing in commonly used map, LEANNA maps, map of rice, etc., super multi-image.
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用块匹配法求超分辨率复原中的运动矩阵!提出了一种快速，半像素的三步法！-Block-matching method using super-resolution recovery of movement in the matrix! Presents a fast, three-step half-pixel!
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超分辨的MATLAB程序，比较经典的网上很少能找到的超分辨程序，可以用。-Super-resolution of the MATLAB program to compare the classic line rarely found in super-resolution process can be used.
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一种实现超分辨率图像处理的新算法,本算法在综合前人算法的基础上，做了很大改进。很适合图像处理。-An implementation of the new super-resolution image processing algorithms, the algorithm in integrated algorithm based on the predecessors has done a lot of improvements. Very suitable for image process
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提供没有任何编程知识的超分辨所需的可能性
方便用户地测试和比较不同的简技术，为了提供一个灵活的项目，任何人都可以修改，以适应他们的需要，增加新的登记和重建技术-Provided without any programming knowledge required for the possibility of super-resolution user-friendly test and compare different simple technologies, in order to p
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implementation approach for the compression of image data for lossless image compression saved in lower resolution and are retrieved with super resolution
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数字图像处理中的超分辨率分析代码！
希望对大家有用
matlab-Digital Image Processing in Super-Resolution Analysis of code! Want to be useful to everyone matlab
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A super resolution algorithm implemented in matlab.
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基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观
的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均
匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后
采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和
噪声）。-In this paper, we propose a novel method for solv-
ing single-image super-resoluti
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基于频域做的图像超分辨率重建的matlab源码-Super-resolution (SR) are techniques that in some way enhance the resolution of an imaging system. There are different views as to what is considered an SR-technique: some consider only techniques that break the diffraction-li
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基于视频的超分辨率重建是指从许多帧连续的低分辨率图像中重建出一幅高分辨率的图像，并且这幅高分辨率的图像能够显示出单帧低分辨率图像中丢掉的细节(Super-resolution reconstruction based on video refers to the reconstruction of a high resolution image from a number of consecutive low resolution images, and this high resolution
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杨建超的将稀疏表达用于图像超分辨率重建的文章赋代码(Example matlab code for the algorithm proposed in "Image super-resolution via sparse representation" TIP 2010.)
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