reconstruction_algorithms

使用基于PCA+KNN算法实现的人脸识别，本算法的优点在于使用的是基于2DPCA的方法，计算时间更短，效率更高。(PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.)

功能：去模糊/去马赛克 A joint demosaicking-zooming scheme for single chip digital color cameras(2007)论文以及源码(Function: to blur/demosaicing A joint demosaicking-zooming scheme for single chip digital color cameras (2007) paper and source code)

说明：  修改文件存储路径及相关参数,此代码可读取nc格式的文件(After modifying file storage path and related parameters,this code can read the data with the format of 'nc')

说明：  python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)

Python+OpenCV实现的行人检测(Pedestrian Detection of Python + OpenCV Implementation)

这写程序是对加水印之后图像的攻击，包括加噪声，各种滤波，剪切，压缩攻击和旋转等。(This writing process is a plus watermark image after the attacks, including the increase in noise, various filtering, shear, compression and rotation attacks.)

图像处理基本操作MATLAB原代码，包括各种经典算法，处理过程源码(Basic operation of image processing the original MATLAB code, including a variety of classic algorithms, process source)

说明：  这是“An efficientlocalChan–Vesemodelforimagesegmentation”（简称LCV模型）的MATLAB源代码。LCV模型是非常重要局部区域活动轮廓模型，它被广泛使用于各个领域，如MRI大脑图像分割，血管图像分割，图像偏差场纠正。(This is "An efficientlocalChan-Vesemodelforimagesegmentation" (referred to as the LCV model) of the MATLAB source code. LCV model is very important to local area active contour model, which is widely used in various fields, such as MRI brain image segmentation, vessel segmentation, image bias field correction.)

编程实现LoG或Sobel算子，并利用该算子提取给定图像中的边缘；全局最优阀值和自适应阀值分割的工作原理，编程实现阀值分割算法。 (Programming LoG or Sobel operator, and using the edge of the operator to extract a given image global optimal threshold and adaptive threshold segmentation of the working principle of programming to achieve a threshold segmentation algorithm.)

可以显示图像并显示大话西游中的经典台词，还可以播放动听的背景音乐。(Can display images and display the classic Journey to the West in the lines, but also can play pleasant background music.)