资源列表
GUI-(Tutorial-Version)
- 基于MATLAB的遥感图像融合，GUI界面，包括IHS，PCA，小波等等及他们的改进算法-MATLAB-based remote sensing image fusion, GUI interface, including IHS, PCA, wavelet, etc. and their improved algorithm
SRCNN
- 基于深度学习的图像超分辨率算法。 参考论文 Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014) -Super resolution based on deep learning Refer to Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014)
InteractiveROI
- 基于Halcon和C#实现交互操作，可以通过鼠标绘制ROI（感兴趣区域），利于图像处理-Based Halcon and C# achieve interoperability, you can draw ROI (region of interest), in favor of image processing using the mouse
unmixing_overview
- 关于高光谱解混的代码 来源于hyperspectral unmixing 详细的说明可以见内部说明文件-Hyperspectral Solutions of mixed code hyperspectral unmixing can see a detailed descr iption of internal documentation
Photometric-stereo-method
- 光度立体法matlab程序，通过立体球求取光源方向，通过求解稀疏矩阵来实现物体的三维重建-Photometric stereo matlab program, through the three-dimensional sphere to obtain the direction of light source, through the sparse matrix to achieve three-dimensional reconstruction of objects
HBR_platform_matlab
- 人体行为识别，姿势包括跑步，打太极，行走，蹲着，具体很好的识别率-Identification of human behavior, including running posture, tai chi, walking, squatting, particularly good recognition rate
3
- 多种图像去雾算法（何晓明暗通道去雾，基于中值滤波去雾，基于均值滤波去雾，基于导向滤波去雾，多色彩空间去雾）-A variety of image defogging algorithm (Xiaoming dark passage to fog, based on median filter to fog, defogging based on mean filter, filter-based guide to the fog, multi-color space to fog)
CNN-Toolbox
- 基于matlab的深度学习工具箱，该工具箱内包含一个基于手写识别的cnn模型，注释清晰。-Based on the depth of learning matlab toolbox, the toolbox contains within a model based on handwriting recognition cnn, clear notes.
Criminisi
- criminisi算法的可以直接修复彩色，单色图像，有源码，实验图片-Criminisi algorithm can directly repair the color, monochrome images, there are source code, the experiment.
Test_MNF
- 用MNF（最大噪声分离）进行高光谱图像去噪，效果一般待优化-MNF (maximum noise fraction) for hyperspectral image denoising, the effect is generally to be optimized
EPLL
- 一篇基于Expected Patch Log Likelihood的图像去噪文章及其实现-One based on Expected Patch Log Likelihood Denoising article and its realization
shuangchongJEPG
- 由于图像在经过一次 JPEG 压缩和双重 JPEG 压缩之后其 DCT 系数具有一定的相关性，通过对这种相关性进行分析，提出了一种基于 JPEG 图像双重压缩特性的图像篡改检测算法，并用此算法检测图像是否经过篡改和定位篡改区域。 -Since the image after a first JPEG compression JPEG compression and double its DCT coefficients having some relevance, by this corre