搜索资源列表
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超分辨率图像的重建问题，运用的很多当下最新的方法，可以帮助大家尽快了解超分辨率图像重建问题,Super-resolution image reconstruction problems, the use of many of the current up-to-date methods that can help you as soon as possible to understand the issue of super-resolution image reconstruction
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单幅图像的超分辨率，有较为详细的说明。还带有实验的文件-A single image super-resolution, there is a more detailed descr iption. Also with the experiment file
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可以说是图像超分辨率重构中最重要的一篇文章，一篇经典的综述-It can be said that the image super-resolution reconstruction of the most important article, a synthesis of classical
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对多帧图像进行超分辨率处理，得到一副高分辨率的单帧度图像。-Multi-frame image super-resolution processing, get a degree of high-resolution single-frame image.
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超分辨率图像处理从几幅图象中提取像素合成新的比较清晰的图像-Super-resolution image processing to extract images from a number of new synthetic pixel images clearer
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仿真获取四幅互差半个像素的低分辨率图像，利用反演解析算法重建出一副高分辨率图像，属于亚像元技术或者超分辨率技术。-Simulation Interoperability poor access to four half-pixel low-resolution images, the use of inversion algorithm for the reconstruction of an analytic high-resolution images, belong to sub-pixe
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实现超级像素的图像分割程序源代码，代码很全面-The realization of super-pixel image segmentation source code, code is very comprehensive
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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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超分辨率图像处理从几幅图象中提取像素合成新的比较清晰的图像-Super-resolution image processing to extract images from a number of new synthetic pixel images clearer
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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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用matlab仿真图像超分辨率重建技术中的正则化处理方法-Simulation using matlab image super-resolution reconstruction of the regularization approach
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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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基于JPG2000图像的超分辨率重建的matlab程序-JPG2000-based super-resolution reconstruction of image matlab program
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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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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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亚像素位移快速匹配方法的代码实现，可以精确到亚像素运动估计。也是图像超分辨率重建的一个重要内容-Fast sub-pixel displacement matching method code can be accurate to sub-pixel motion estimation. Image super-resolution reconstruction is an important element of
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用matlab开发的 关于图像超分辨率中配准的算法，采用的是光流算法-Developed with matlab matching image super-resolution algorithm using optical flow algorithm
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关于超分辨图像处理的程序，基于学习反法的一种超分辨图像处理算法。(Super-resolution image processing)
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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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