搜索资源列表
SupResolDemo
- 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
matlab_work
- 对单幅图像进行基于空域正则化处理，实现图像的超分辨率-Regularization of the image processing to achieve super-resolution
SR
- 这是一篇知网的付费论文，用在基于学习的单幅图像的超分辨率分析，用马尔科夫模型构造，对研究超分辨率有很大的帮助-This is a paid HowNet papers used in the study based on single image super-resolution analysis, using Markov model structure, the study of super-resolution is very helpful
superresolution
- 这是单幅图像的超分辨率，用分块法的重叠算法进行，非常有用，值得参考-This is a single image super-resolution method using overlapping block algorithm is very useful, it is also useful
ScSR
- Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码，先将高低训练图像分块，再将块训练成高低字典，将测试图像映射到低字典上，得到系数，再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。-This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。
resolution
- 一个基于单幅低分辨率彩色图像的超分辨率重建程序-A super-resolution reconstruction program based on single low-resolution color images
shuangxianxingchazhi
- 此代码应用双线性差值方法，进行单幅图像的超分辨率重建，里面有双线性插值的详细介绍和说明，并且有双线性插值代码的参考代码。-This code is applied bilinear interpolation method, a single image super-resolution reconstruction, which has a detailed descr iption of the bilinear interpolation and instructions, and the
ScSR
- 基于学习单幅图像超分辨率重建算法源代码。-based on the singal picture super resolution founding
sr_by_example-master
- 图像超分辨率重建,基于例子的单幅图像处理，对于图像处理初学者有很大帮助-image supreme-resolution，Based on the example of a single image processing, are of great help for beginners to image processing
基于单幅图像景深和大气散射模型的去雾方法
- 单景图像超分辨率技术，创新算法，值得研究学习。(Single scene image super-resolution technology, innovative algorithms, it is worth studying.)
SR (1)
- 单幅图像的超分辨率重建代码，外国人写的，不过没有原理说明(Single image super-resolution reconstruction code, written by foreigners)
SuperResolution
- 由单幅高分辨率图像，通过降噪模型得到多幅低分辨率图像，运用低分辨率图像重建高分辨率图像(function is : down-Sampling -> get n LR pictures -> reconstruction one SR picture)
Wavelet_SR
- 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 prog
matlab_SupResolDemo
- 提高低分辨率的单幅图像的清晰度，基于matlab编写，可在win32上运行(Improve the resolution of single image with low resolution. Based on MATLAB, it can run on Win32.)