nsct_toolbox

haar小波变换 在图像配准中可以使用 进而进行基于小波金字塔的模板交互匹配(haar wavelet transform in image registration can be used to carry out based on wavelet pyramid interactive template matching)

说明：  用于图像去噪处理，使用ADM方法图像去噪处理器处理(Used for image denoising processing, using adm method image denoising processor processing)

镜头指纹识别，提取镜头特征，对其他照片进行识别，判断是否来源同一相机。(Image Source Detection)

写成gauss-gamma双窗函数，计算含有相干斑噪声的sar图像的梯度(The gauss-gamma double window function is used to calculate the gradient of the SAR image with the speckle noise)

数字图像处理第二版中文版（冈萨雷斯）Digital Image Processing(Digital Image Processing 2nd Edition Chinese (Gonzalez))

首先通过建立一个可靠的背景更新模型，然后在视频序列中取一帧图像与背景做差得到完整可靠的运动目标图像(This program is used to detect the moving targets by image substraction ,)

数字图像处理有关的论文，很优秀，很有指导意义的一篇论文。(Digital image processing the papers, very good, very instructive paper.)

说明：  图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 (A sharp and clear image is not directly produced from the optics, however, digital signal processing applied to the sampled image produces a sharp and clear final image that is also insensitive to misfocus related aberrations. This paper gives an overview of Wavefront Coding and example images related to the two applications of machine vision/label reading and biometric imaging. Design techniques of Wavefront Coding are unique from that of traditional imaging system design since both the optics and digital processing characteristics of the system are jointly optimized for optimum system performance.)

差影法去背景---部分测试，感觉还行，与大家分享，呵呵差影法去背景(Poor background--- Shadow law to some of the test, I feel also visit to share with you, huh, huh difference method to the background shadow)

用小波去噪，不同尺度下的阀值去噪，去噪效果的对比(With wavelet denoising threshold denoising different scales, denoising effect contrast)