搜索资源列表
L2
- 基于L2范数的多帧图像超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。-Based on the L2 norm of the multi-frame image super-resolution image reconstruction algorithm, on the basis of existing algorithms to improve computational accuracy and efficiency.
POCS
- 基于凸集投影算法的超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。-To improve the computational accuracy and efficiency in the existing algorithms based on super-resolution image reconstruction algorithm based on projections onto convex sets algorithm.
Tikhonov
- 基于Tikhonov算法的超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。-Super-resolution image reconstruction algorithm based on Tikhonov algorithm on the basis of existing algorithms to improve the computational accuracy and efficiency.
SupResolDemo
- 超分辨率重建（即，将低分辨率图片进行插值光滑，放大其分辨率，得到清晰的图像），matlab程序。-Super-resolution reconstruction (ie, the low-resolution pictures smooth interpolation amplify the resolution to get a clear image), Matlab program.
Image-reconstruction
- 图像重建算法及源代码，包括代数重建，超分辨率重建，三维重建等，C++，vc6.0编译环境 -Image reconstruction algorithm and source code, including algebraic reconstruction, super-resolution reconstruction of three-dimensional reconstruction C++ vc6.0 compiler environment
HEM
- 采用自适应混合误差模型的正则化超分辨率算法，正则项采用BTV，参考文献：AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SUPER-RESOLUTION -AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SR
superresolution_v_2.0
- 适合初学超分辨率重建使用 图像超分辨率 SR工具箱-Image super-resolution SR Toolbox
TIP_ASDS_IR
- 基于自适应的区域选择和自适应的正则化得图像去模糊和超分辨处理，试过可以用-Based adaptive region selection and adaptive regularization was image deblurring and super-resolution processing
nsct_toolbox
- 多尺度图像非下采样轮廓波变换（NSCT）的工具箱，实现代码为Matlab版本。可用于图像的多尺度分析，如图像压缩、图像分割、图像融合和超分辨率等。-Multi-scale image nonsubsampled contourlet transform (NSCT) toolbox, code Matlab version. The images can be used for multi-scale analysis, such as image compression, image segm
super-resolution-based-on-POCS
- 这是一篇POCS的论文，比较详细可以参考。-This a thesis about POCS
face_sr
- 图像超分辨率重建，介绍其基本方法和程序，分为训练和测试部分-image super resolution
Single_Image_SR
- 用于基于稀疏表示的图像超分辨研究很好的一个工具箱-Based on image sparse representation used for image super resolution research is a good tool kit
CS-KSVDSR
- 实现了基于压缩传感理论的超分辨率图像重构算法-Compressed sensing theory-based super-resolution image reconstruction algorithm
Example
- 图像超分辨，将训练图像按种类分类并对分块进行K均值算法分类，然后训练成为字典，并对要测试的图像进行超分辨-image super resolution
guangliu
- 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
14589
- 基于小波融合的图像残差金字塔超分辨率研究-Super-resolution based the image residuals pyramid wavelet fusion
sample_patches
- 采用分块的办法将训练图像库的图像按模式进行分块，可以调节参数例如：10000来确定分块的数量-image super resolution
rnd_smp_dictionary
- 代码为图像的分类取样，可以将图像分为若干图像块，可以调整图像块的大小与数量-image super resolution
POCS_Newton_Algorithm
- pocs-newton算法实现超分辨率重建，一种改进的pocs算法，使sr效果得到提升。-pocs-newton algorithm to achieve super-resolution reconstruction, the an improved pocs algorithm, sr effect would be enhanced.
test
- 改自H. Chang Super resolution through neighbor embedding 的人臉 superresolution-Changed since H. Chang Super resolution through neighbor embedding face superresolution