搜索资源列表
SFSreconstruction
- 利用sfs算法对目标的多角度图像进行三维重构(3D reconstruction of multi angle images of target by SFS algorithm)
DFT&DCT
- 编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input
Desktop
- 图像金字塔分解与图像金字塔重构matlab 程序,实现图像多尺度变换，对图像进行增强(Image pyramid decomposition and reconstruction of image pyramid matlab program,achieveing image enhancement)
压缩感知重构算法之SP算法python实现
- 压缩感知Sp算法，python实现，图像处理方向的，可以改变为信号处理，可以极好的重构出原图像。(Compressed sensing Sp algorithm, python implementation)
vtklearning
- 这是一个将CT图像序列三维重构的程序，重构后，在颅内预设一条轨迹，并实现自主漫游，效果为两个窗口同时显示，左侧窗口为重构结果和路径即漫游情况，右侧窗口实时显示漫游点正前方切面。(This is a sequence of CT image reconstruction procedure, reconstruction after a preset trajectory in the brain, and achieve independent roaming, effect of the tw
压缩采样匹配追踪重构算法
- 压缩感知稀疏度自适应重构算法，含有子功能程序和主程序，注意程序中数值与所选图像尺寸的匹配(Compressed sensing sparse adaptive reconstruction algorithm, contains subfunction program and main program, notice the value of the program matching the selected image size.)
FuLiYe
- 图像识别，提取傅里叶描述子，不同傅里叶系数的图像重构结果显示代码(image recognition, the Fu Liye descr iptor is extracted, and the image reconstruction results of different Fu Liye coefficients display the code)
FourierTransform
- 完成对bmp图像的傅立叶变换; 完成对bmp图像的Haar小波分解与重构(Fourier transform of the BMP image is completed. Haar wavelet decomposition and reconstruction of BMP images)
SR_1
- 实现了图像基于学习的超分辨率重构，输入训练图片和待处理图片，得出超分辨率处理后的图像(Super-resolution reconstruction based on learning, Input the training picture and the image to be processed to get the image after super-resolution processing)
字典学习
- 一种基于KSVD字典学习的多任务超分辨率图像重构方法,主要解决现有方法在高放大因子下重构图像质量下降比较严重的问题(A multi task super-resolution image reconstruction method based on KSVD dictionary learning is mainly used to solve the problem that the quality of image reconstructed by the existing method i
pytorch-vae-master
- 变分子编码 重构图像 Mnist 特征提取(vae reconstruction Mnist feature extracting)
XZX
- 全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标；然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
NN_BP
- 用matlab实现BP算法编程，用于压缩感知重构，可用于数据图像重构。(Using MATLAB to realize BP algorithm programming. It can be used for compressed sensing reconstruction,and can be used for data and image reconstruction.)
PC_ELM
- 极限学习机的改进型，可用于降维和图像重构(Autoencoder With Invertible Functions for Dimension Reduction andImage Reconstruction)
3D Reconstruction
- 通过两幅图片重构出场景中物体的三维结构,需要输入相机的标定参数，通过仿射变换找出图像之间的对应关系
xiaobobao
- 运用matlab对图像进行小波包的分解与重构(Wavelet packet decomposition and reconstruction)
code
- 实现二位图像转化为三维立体图像，并进行渲染(Two bit images are converted into 3D images and rendered.)
Oleration
- 用MATLAB实现计算机视觉中三维重构所需的基本矩阵的运算(Implementation of basic Matrix Operation for 3D Reconstruction in computer Vision with MATLAB)
BD3D-AMP (DAMP)作业
- 图像重构 压缩感知 重构后对图像使用BM3d 进行去噪(compress sensing DAMP)
POCS
- 采用POCS方法进行序列图像的超分辨重构(image reconstruction based on POCS)