vortex beam

说明：  提取视频中的图片，每一帧的信息，把视频分为图片信息(get picture of video)

一个类似ACDSee的看图工具，可以察看很多种格式的图形文件。由ISee开发组提供(ACDSee pictures of a similar tool, you can see a variety of graphics file formats. ISee provided by the development team)

实现EEMD算法的函数，如extrema.m，eemd.m等等(the functions actualize of EEMD algorithm,such as extrema.m,eemd.m)

Guilde Filter 图像滤波； 包含[2015]Fast Guilded filter.pdf ; [2013] Guided Image Filtering.pdf 经典。(inculde classical paper for guilded filter)

说明：  利用小波双线性超分辨率重建算法得到的重建图像会出现低、高频系数不匹配的现象，从而使得到的高分辨率图像灰度偏移。本文对该方法进行了改进，并引入局部适应插值得到更为理想的重建算法。即小波与局部适应插值结合算法。(Using Wavelet bilinear super-resolution reconstruction algorithm is the reconstructed image will appear low, high-frequency coefficients does not match the phenomenon, thereby enabling high-resolution image to be offset. In this paper, the method is improved, and the introduction of local interpolation to be better adapted to the reconstruction algorithm. That is, wavelet interpolation combined with the local adaptation algorithm.)

利用opencv基于灰度投影算法进行图像平移补偿(Use opencv gray projection algorithm for image translational compensation)

说明：  这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.)

基于支持向量机方法的图像分割与目标分类.介绍了支持向量机用于车辆图像分类。以及用于单目标图像的分割和多目标图像的分割，介绍的较为详细。(Method of image segmentation based on support vector machine (SVM) and the target classification. This paper introduces the support vector machine (SVM) is used to vehicle image classification. And for single target image segmentation and target image segmentation, introduced detailed.)

说明：  使用python实现图像的加解密算法，涉及到基于RC4的图像加解密，基于logistic的图像加解密，arnold图像置换，有图像界面，使用QT制作(Using Python to implement image encryption and decryption algorithm involves image encryption and decryption based on RC4, image encryption and decryption based on logistic, Arnold image replacement, image interface, QT production)

可以实现图像边缘检测，并对圆形区域实现圆的拟合(It can realize image edge detection and circle fitting.)