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[Graph programperson3_1024

Description: 超分辨率复原(分成1024块) 将样本库中的高分辨率图象和低分辨率图象分别做分块处理,当新输入一幅低分辨率图象时,分成小块到样本库中寻找最匹配的高分辨率块,然后复原出高分辨率图象。-Superresolution recovery (into 1024) for a sample of high-resolution images and low-resolution images, respectively do block, when the new importation of a low-resolution image, divided into small samples to find the most matching high-resolution block, and then recover from high-resolution images.
Platform: | Size: 3072 | Author: 丽仙 | Hits:

[Graph programWaveletImageReconstruction

Description: 利用小波双线性超分辨率重建算法得到的重建图像会出现低、高频系数不匹配的现象,从而使得到的高分辨率图像灰度偏移。本文对该方法进行了改进,并引入局部适应插值得到更为理想的重建算法。即小波与局部适应插值结合算法。-Using Wavelet bilinear super-resolution reconstruction algorithm is the reconstructed image will appear low, high-frequency coefficients does not match the phenomenon, thereby enabling high-resolution image to be offset. In this paper, the method is improved, and the introduction of local interpolation to be better adapted to the reconstruction algorithm. That is, wavelet interpolation combined with the local adaptation algorithm.
Platform: | Size: 236544 | Author: wangjikui | Hits:

[Special Effectsfanyanjiexi

Description: 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-pixel super-resolution technology or technology.
Platform: | Size: 5120 | Author: 周晓峰 | Hits:

[matlabSRes

Description: this program contain a super resolution with robust method to produse high quality image from the low quality video squence.
Platform: | Size: 1527808 | Author: bayu setyo | Hits:

[Special EffectsSparseLab200-Core

Description: 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-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible
Platform: | Size: 27595776 | Author: qianyeyu | Hits:

[Graph programWavelet_SR

Description: 本程序是基于单幅图像的超分辨率算法,通过对输入的高分辨率图像进行下采样得 % 到原始低分辨率图像,对输入的低分辨率图像插值后,利用DWT将低分辨率图像分 % 解为不同的4个子带;同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子 % 带来修正DWT得到的高频子带。最后,通过逆离散小波变换(IDWT)组合修正的高 % 频子带和低分辨率图像,得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input. % to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT. The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT % brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT) % frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.)
Platform: | Size: 2048 | Author: shuo111 | Hits:

[Windows Develop新建文件夹

Description: 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 image can display the details lost in a single frame low resolution image.)
Platform: | Size: 10074112 | Author: 联考 | Hits:

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