fenxing

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)

C语言数学形态学的腐蚀运算，同时适用于二值图像与灰度图像。(C language mathematical morphology erosion operation also apply to binary images and gray-scale image.)

在ycbcr颜色空间分割火焰，并找到火焰质心(Split the flame in the YCbCr color space and find the center of mass of the flame.)

进行图像格式的转换，可以由bmp转换为tif、jpg等格式(Image format conversion, may tif, jpg bmp format conversion by the)

车牌识别。系统界面包括车牌图像预处理、定位、矫正、分割、识别等各个步骤的结果显示；显示包括待识别车辆和处理结果图像或数据(License plate recognition. System interface includes license plate image preprocessing, positioning, correction, segmentation, recognition and other steps of the results display; display includes the vehicle to be identified and processing results images or data)

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

超分辨率复原（分块处理） 将样本库中的高分辨率图象和低分辨率图象分别做分块处理，当新输入一幅低分辨率图象时，分成小块到样本库中寻找最匹配的高分辨率块，然后复原出高分辨率图象。(Superresolution recovery (block processing) for a sample of high-resolution images and low-resolution images respectively block , when the new importation of a low-resolution image, divided into small samples to find the most matching high-resolution block, then recovery from high-resolution images.)

说明：  matlab图像去模糊算法代码，使用两倍长度的点扩散函数进行维纳滤波，模糊图像加入随机噪声，计算噪声信号功率比，使用噪声能量和图像一维自相关函数进行维纳滤波，模糊后的图像，减小噪声能量进行规则化滤波，增大拉格朗日乘子进行滤波，继续对恢复的图像反卷积，产生模糊图像，最初的PSF，显示最初PSF下恢复的PSF。(MATLAB image deblurring algorithm code, using double-length point spread function for Wiener filtering, adding random noise to blurred image, calculating noise signal power ratio, using noise energy and image one-dimensional autocorrelation function for Wiener filtering, blurred image, reducing noise energy for regular filtering, increasing Lagrange multiplier for filtering, continue to restore the image. Like deconvolution, a blurred image is generated. The original PSF displays the restored PSF under the original PSF.)

对图像进行处理，利用拉普拉斯锐化进行边缘检测。(The image is processed and the edge is detected by Laplasse sharpening.)

一种基于孔径编码的图像复原方法，效果非常好，不过缺陷是需要知道PSF等先验知识(Based on coded aperture image restoration method, the effect is very good, but the deficiencies need to know a priori knowledge of PSF, etc.)