资源列表
SRGAN-master
- 这是一个基于深度学习的超分辨率图像复原技术的例子(This is a deep learning based super-resolution image restoration technology for example)
Digital Image Processing
- 1.RAW格式转换为BMP格式 2.灰度线性拉伸 3.局部处理 4.几何处理 5.二值化 6.模板匹配 7.影像融合(1.RAW format converted to BMP format 2. grayscale linear stretch 3. local processing 4. geometric processing 5. binaryzation 6. template matching 7. image fusion)
Desktop
- matlab图像处理基本操作，一共10个程序，都已经成功调试通过，希望对朋友们有所帮助,同时，包括一本好书，Visual C++_MATLAB图像处理与识别的，其中有很多例程-matlab image processing basic operation, 10 programms,and also all of them has been successfully debuged, want to help some friends of needed.there included a ver
1
- 在实际应用中，通常都要在没有图像退化必要的先验知识（即不知道点扩展函数）的情况下进行图像复原。这是解运动模糊的参考程序。-In practical applications, the image restoration is usually performed without the necessary prior knowledge (i.e., the point spread function) of the image degradation. This is a reference p
ImageSolution
- 做图像处理的一般都要涉及到很多的算法，这是一个包括较多算法的文件，包括图像的显示，转化，增强，匹配，复原等等算法-To do image processing usually involves a lot of algorithms, This is a document of more algorithms, including image display, transformation, enhancement, matching, and so on recovery algorithm
region-based-image-retrieval
- 从数据库中下载的几篇基于区域的图像检索论文，包括中文的和外文的。相信对研究图像检索的有帮助。-There are several articles of region-based image retri ,including English and Chinese.
demo
- 数字图像处理程序。包括增强、滤波、伪彩色、K变换、细胞分割及遥感校正等。-Digital image processing program. Including the enhancement, filtering, pseudo color, K transformation, cell division and RS correction.
Handwritten-Digit
- 应用KNN和NP算法对MINSET数据库进行手写数字识别-KNN algorithm application and NP MINSET Digital Recognition
PDE
- 给予偏微分方程的图像处理一书中的实验代码很全面
digital-image-processingl
- 《数字图像处理与机器视觉 Visual C++与Matlab实现》一书的源码-Projection distortion correction including vehicle license plate, various standard image processing algorithms, digital recognition system based on artificial neural network, face recognition system based on sup
kinect-beta
- 在Visual C++平台上用MFC实现了Kinect深度图和彩色图的实时采集，并对齐裁减-In Visual C++ platform using MFC to achieve a Kinect depth chart and color chart real-time acquisition and alignment cuts
scene_labeling_cvpr2012_v1
- 基于场景的超像素图像分割，可以实现快速分割，基于深度信息和颜色信息的检测-Based on ultra-pixel image to divide the scene, you can achieve rapid segmentation, detection based on the depth information and the color information