▍1. 117143213GS_2D
利用GS算法实现相位的校正，从而使相位得到一定程度的改善(The phase correction is realized by GS algorithm, so that the phase is improved to a certain extent.)
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▍3. logistic
说明： logistic混沌映射图，可以得到对logistic混沌映射图和基于logistic对图像加密(Logistic chaotic map)
▍4. PML-v1.0
Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition
▍5. PML-v1.0
说明： Projection Metric Learning on Grassmann Manifold with Application to Video based Face Recognition
▍6. matlabgaosi
说明： 使用MATLAB语言编写的非高斯噪声程序，通俗易懂，非常好用(Using the MATLAB language for non-Gaussian noise process, user-friendly, very easy to use)
▍7. 提取复杂目标外轮廓
通过matlab自带函数等，实现复杂背景下，提目标外轮廓，并且去除内部小区域，得到边缘(By using MATLAB functions and so on, the target contour can be extracted under complex background, and the inner small area can be removed to get the edge.)
▍11. TRAOD_Algorithm
基于轨迹划分的异常轨迹检测方法。首先采用两种分段粒度将每条轨迹分为若干子轨迹线段，然后，在基于距离的异常检测方法的基础上，引入调整系数的概念，采用密度与距离相结合的方法进行异常轨迹检测。 (Abnormal trajectory detection method based on trajectory partition.Firstly each trajectories should be divided into several substrajectories using two granularities. Then the notion of adjustment coefficient is introduced on the basis of distance based anomaly detection method, and the abnormal trajectories are detected combining density and distance. )
▍12. 4.点云数据的精简
说明： 可以进行点云数据精简，适合用matlab处理(Point cloud data reduction)
▍13. matlab体素化程序
说明： 体素化程序，主要用于matlab体素化一些封闭模型(Voxelization program, mainly used in MATLAB voxelization of some closed models)
▍14. MSCNN_dehazing
使用matlab进行图像去雾，有助于帮助刚入门的图像小白学习matlab图像处理(Matlab image defogging, helpful to help beginners learning image white matlab image processing)
▍15. MSCNN_dehazing
说明： 使用matlab进行图像去雾，有助于帮助刚入门的图像小白学习matlab图像处理(Matlab image defogging, helpful to help beginners learning image white matlab image processing)
▍16. feixianxing
这是我们非线性课程的一次作业，有分岔图，蛛网图，庞加莱截面，希望对大家有用。(This is our first non-linear operation of the curriculum, there is bifurcation diagram, spider diagram, Poincare section, in the hope that useful to everyone.)
▍17. wavelet transform program
说明： 内容：基于MATLAB的小波变换程序 具体功能：实现四级信号的小波分解和重构(Content: wavelet transform based on Matlab: four level signial wavelet decomposition and reconstruction are implemented.)
▍18. DeblurGAN-master
说明： 采用生成对抗网络（GAN）实现图像去模糊，用于图像的清晰化处理(The generated countermeasure network (GAN) is used to remove the blur of the image, which is used to clear the image)
▍19. 水下图像去雾与增强
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.)
▍20. 水下图像去雾与增强
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.)
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