搜索资源列表
bundler_sfm-master
- bundler SFM 代码 ，实现图像三维重建(the code of the bundler SFM)
SRCNN_TEST
- 基于卷积神经网络的图像超分辨率重建，不含训练程序，包含已训练好的model !(Test code for Super-Resolution Convolutional Neural Networks (SRCNN))
MC
- 利用MC算法进行医学图像3D重建，基于python和VTK(MC algorithm for 3D reconstruction)
haar-master
- 基于哈尔小波分析的图像分解重建，利用matlab语言(Performs Haar wavelet decomposition of images using filterbanks (MatLab))
DTCWT-NLM-master
- 图像去噪,应用DTCWT 进行地震信号的去噪和重建(picture-denosing apply DCTWT into signal of earthquake denosing)
src
- 基于压缩感知图像恢复，重建算法为CoSaMP算法(Compression based image restoration)
DCT
- 对每类中的每幅图片进行DCT变换（8*8）分块并对保留的DCT系数进行反DCT变换，得到重建的图象，显示原图像和重建图像进行对比，并计算出与原图对比的PSNR值。(Each picture in each class is divided into DCT transform (8*8) and the reserved DCT coefficient is inverse DCT transform. The reconstructed image is obtained. The origi
PRNet-master
- 利用深度学习进行单幅人脸图像的3D重建，有稠密的人脸纹理，效果十分好(from a single face image to regress 3d face model)
FBP
- 基于理想卷积反投影重建算法理论，推导出相应校正偏离的卷积反投影算法。对图像进行重建。(Based on the theory of ideal convolution back projection reconstruction algorithm, a convolution back projection algorithm for correcting deviation is derived. The image is reconstructed.)
Image Reconstruction (ART)
- 用代数迭代算法ART重建图像，含MATLAB代码(image reconstruction using ART algorithms (MATLAB code))
ScSR
- 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.)
Liver-Tumors-master
- 首先，本代码针对肝脏CT图像序列的特点，提出了一个肝癌图像分割算法，对医学图像的分割、辅助医生进行肝脏切割手术、为医生进行诊断和治疗、肝脏的三维重建、确定病变区域的大小及程度等也有着重要意义。(Firstly, according to the characteristics of liver CT image sequence, this code proposes a liver cancer image segmentation algorithm. It is also importan
zhongyao
- 双目立体匹配一直是双目视觉的研究热点，双目相机拍摄同一场景的左、右两幅视点图像，运用立体匹配匹配算法获取视差图，进而获取深度图。而深度图的应用范围非常广泛，由于其能够记录场景中物体距离摄像机的距离，可以用以测量、三维重建、以及虚拟视点的合成等(Binocular stereo matching has always been a research hotspot in binocular vision. Binocular cameras take left and right view ima
师瑛杰
- 解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)
sfm-bundler(python)
- 就是用sfm方法把用相机拍摄的图像进行重建三维模型(The SFM method is used to reconstruct the three-dimensional model of the image taken by the camera)