sandian

卷积神经网络（Convolutional Neural Network）是一个专门针对图像识别问题设计的神经网络。它模仿人类识别图像的多层过程：瞳孔摄入像素；大脑皮层某些细胞初步处理，发现形状边缘、方向；抽象判定形状（如圆形、方形）；进一步抽象判定（如判断物体是气球）。(Convolutional neural network is a neural network specially designed for image recognition. It imitates the multi-layer process of human recognition image: pupil ingestion of pixels; some cells in the cerebral cortex preliminary processing to find shape edges and directions; Abstract judgment of shape (such as circles and squares); and further Abstract judgment (such as judging objects are balloons).)

图像基础处理——透视矫正的程序代码，把图像还原(Image basic processing- perspective correction code to restore image)

直方图均衡、小波增强、contourlet变换用作图像增强(Histogram equalization and wavelet enhancement, contourlet transform is used for image enhancement )

用于摄像机标定的Harris角点检测代码码。能达到亚像素精度。压缩包内附说明文档。 (Harris corner detection for camera calibration code code. To achieve sub-pixel accuracy. The compressed package included documentation.)

beta过程+稀疏表示，做单帧超分辨率重建(single imagle super-resolution by beta process)

该函数是用于计算峰值信噪比和信噪比的程序(it can be used to calculate psnr and snr)

可以打开各种图像格式，并显示，很好很强大(Can open a variety of image formats)

超高斯光束在自由空间中的衍射传播，利用角谱理论。(Super-Gaussian beam diffraction propagation in free space, the use of the angular spectrum theory.)

中值滤波，取出奇数个数据进行排序，用排序后的中值取代要处理的数据即可(median filtering.rar)

一个基于Tikhonov正则化超分辨率重建，可以成功运行。(A Tikhonov based regularized super resolution reconstruction can be successfully operated.)