lossless-lwatermarking--model

基于光流法的二维单模态图像配准，能得到变形场(This will allow you to generate the deformation field needed for contour guided multi-modal image registration.)

对计算图像的LBP矩阵并具备旋转不变性，用于目标检测和识别(The LBP matrix of the calculated image has the rotation invariance for target detection and recognition)

说明：  基于邻域的比例算法求两幅图像的差异图，用于变化检测。(The proportion of neighborhood-based algorithms to find the difference of the two images map for change detection.)

说明：  snake模型 简单 可以修改迭代次数跟初始mask 挺不错的，可以改参数(snake model Simple can modify iterations with initial mask quite good can change parameters)

将RGB格式的图片进行mosaic处理得到RawData格式的图片，然后再恢复成RGB格式彩色图片,laroche-CFA插值算法(turn an RGB picture to RawData picture，then recover the RawData picture to an RGB picture.it is called laroche-CFA.)

移频复调制ZOOMFFT能以指定的、足够高的采样频率分析频率轴上任一窄带内信号的频谱结构，在序列变换点数相同的情况下，ZOOMFFT能获得更高的频率分辨率(The frequency shift the complex modulation ZOOMFFT to specified former spectrum of the signal within a narrow band structure, a sufficiently high sampling frequency analysis of the frequency axis, in the case of the same sequence transform points, ZOOMFFT obtain a higher frequency resolution)

利用mask与Wallis算法实现影像匀光匀色(Using mask and Wallis algorithm to realize the uniform color of the image)

说明：  非局部去噪算法-nonlocal denoise 源码(Non-Local Denoising Algorithm-nonlocal denoise source)

混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal components analysis, PCA) 方法来刻画椭球体背景模型, 提出了一种基于主成分分析的Codebook 背景建模算法. 实验表明, 本文算法不仅能够更准确地描述背景像素值在RGB 空间中的分布特征, 而且具有良好的鲁棒性.(The background modeling algorithm of mixture of Gaussian (MOG) and codebook is widely used in moving object detection of surveillance video. However, the ball model of MOG usually assumes that the three components of RGB are independent, while the cylinder model of codebook assumes that the value of background pixel is distributed uniformly within the cylinder and the changing direction of brightness points to the origin of the coordinate system. These assumptions reduce the descriptive capability for background modeling. Therefore, the paper proposes an ellipsoid- based background model, which overcomes the MOG and codebook0s limitations. By using principal component analysis to depict the ellipsoid background model, a novel PCA-based codebook background modeling algorithm is proposed. Experiments show that this algorithm can not only give more accurate description of the distribution of background pixels but also have a better robustness.)

图像处理中的边缘检测以及曲线拟合的结合应用，实现边缘连接和线段拟合源码(image processing edge detection and curve fitting combination of applications, connectivity and edge line fitting FOSS)