PMP模拟

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.)

能够得到二维、三维voronoi图，修改后可以获得任意数量的voronoi图。(The two or thress-dimensional Voronoi diagram can be obtained, and any number of Voronoi diagrams can be obtained after modification.)

Cohen类时频方法采用不同的核函数来抑制交叉项，本质上是在模糊域对信号进行低通滤波，其中典型的方法有Choi-Williams 分布和Cone-shaped 分布等。(The Cohen time frequency method uses different kernel functions to suppress the cross term, which is essentially a low pass filter for the signal in the fuzzy domain. The typical methods are Choi-Williams distribution and Cone-shaped distribution.)

　找出图象的最佳阈值，并显示它的二值图．(find the best image threshold, and it shows the value of Figure 2.)

3d 图形学的 算法，包含源代码(3d graphics algorithms, including source code)

数字图像处理中关于色彩空间变换的实现，色彩空间包括：YUV，YCbCr,Iab,RGB,XYZ等等。(Digital Image Processing for color space conversion in the color space include : YUV, YCbCr, Iab, RGB, XYZ and so on.)

人脸识别，基于MATLAB，通过人脸的肤色检测人脸，检测到后加上方框做标记(face detection system based on matlab)

人工神经网络实现人脸识别，matlab代码(Artificial Neural Network for Face Recognition)

对图像进行特征提取，求均值和方差来计算提取特征。(For image feature extraction, mean and variance to calculate the extracted features.)

说明：  基于MATLAB编程的菲涅耳离轴全息图的记录(Recording of Fresnel off-axis hologram)