A-Robust-Image-Enhancement

暗通道去雾代码，使用c++实现 根据cvpr论文改写(Channel code to the dark fog)

说明：  基于四元数的matlab处理工具包，利用四元数实现了很多图像处理的功能，并提供了api供大家使用(Quaternion-based processing tool kit of matlab, the use of quaternions to achieve a lot of image processing functions, and to provide for your use of the api)

基于高斯肤色模型检测肤色，可用于人脸检测(based gaussian skin model detect skin can be used face detect)

连续投影算法选出最优波段，一般是选出光谱图形的最优波段(Successive projection algorithm chooses the optimal band, typically selected spectral graph of the optimal band)

超声医学图像去噪代码，用TV法实现偏微分方程去除斑点噪声(Ultrasonic medical image denoising code, with TV method to achieve partial differential equations to remove speckle noise)

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

说明：  读取nc文件，可画出温度，盐度，水深和流场图(it can read NC files, and then draw the map of ocean water depth, temperature, salinity and flow quiver field)

本程序用于图像恢复，主要针对运动模糊和离焦模糊图像恢复问题，效果较好。(failed to translate)

在做图像处理时用遇到图像的阈值分割，这是几种图像的阈值分割方法(In doing image processing with experience image threshold segmentation, which is one of several image thresholding segmentation method)

用于压缩感知重构的TV算法,主要解决压缩感知中图像重构的问题(Used to compress TV algorithm to reconstruct the perception)