bianjieXY

说明：  对于低照度图像，或是模糊不清的雾天，雨天等图像，本算法都能很好的恢复它的清晰度(For the low illumination images, or blurring of the fog, rain and other images, the algorithm can be very good clarity to restore it)

使用admm算法解决basis_pursuit问题(Use admm algorithm to solve the problem basis_pursuit)

由VC实现画矩形、椭圆和随手画功能，对图像处理人员会有帮助(paintings by VC rectangular, oval and hand painting functions, image processing staff to be helpful)

说明：  C#+EmguCV机器视觉开发平台，功能：基本的图像处理工具、随意配置执行流程、二维码识别、文字识别等等。(C+EmguCV machine vision development platform, functions: basic image processing tools, arbitrary configuration of the execution process, two-dimensional code recognition, character recognition and so on.)

SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。 采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。 (SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching. This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching. )

图像420转换为422或444的算法。高斯加噪算法，脉冲加噪算法。(YCbCr 4:2:0 image is converted to 4:2:2 or 4:4:4 of the algorithm, Matlab program is)

图像质量评价，基于梯度的算法，适合初学者学习，其中有曲线拟合部分。(Image quality evaluation, gradient-based algorithm, suitable for beginners to learn, which curve fitting part.)

PCA（主成分分析法）和ICA（独立成分分析法）的MATLAB源程序，他们是目前图像处理比较经典的特征提取方法(PCA (Principal Component Analysis) and ICA (independent component analysis) of the MATLAB source code, they are comparing the current image processing feature extraction methods of classical)

空间金字塔，通过对图片不断的进行层次划分，对每一层的图片信息进行整理用于图片分类等(Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories )

KSVD工具包,可以用于去噪增强等多种领域,具体方法是先训练方向,然后沿方向进行(KSVD toolkit can be used to enhance various areas of de-noising, the specific method is the first training direction, and then along the direction)