LeastSquaresEllipse

实现峰值信噪比的算法，用于判断图片质量的好坏！十分有用！(Achieve peak signal-to-noise ratio (PSNR) algorithm for judging image quality! Very useful!)

说明：  用Lucy-Richardson算法和约束最小二乘滤波实现了图像去模糊(Image deblurring with LR algorithm and CLS filtering)

说明：  直方图均衡化能自动地增强整个图像的对比度，但它的具体增强效果不好控制，处理的结果总是得到全局均衡化的直方图，对数据的处理不加选择，可考虑采用自适应直方图均衡化（AHE），可改进图像的局部对比度以及获取更多的图像细节。MATLAB代码均可直接运行实现。(Digital image processing histogram equalization,Adaptive histogram equalization)

全变差图像去噪，用的分裂Bregman迭代算法，分别用到了L1,、L2、和Lp范数来做的，其中在L1模型中还用到了高斯赛德尔迭代和收缩算子，(Total variation image denoising, with split Bregman iterative algorithm, respectively, used in the L1,, L2, and Lp norm to do, which is also used in the L1 model iterations and high Sisaideer contraction operator)

自己修改的基于closed-form的程序，对外国程序在时间上有两倍的改善，能对在复杂背景下的图片，通过画一些简单的前景线，背景线，抠图出前景(it is about matting foreground when the interested ared is located under complixed background,and then choosing some other beautiful background,you can create new image,which brings you some special feelings.thanks.)

figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds。 Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c. (figure 4.2a single pluse 3-D uncertainty plot pulsewidth is 2 seconds. Figure 4.2b. Contour plot corresponding to Fig. 4.2a. Figure 4.2c. Single pulse 3-D ambiguity plot. Pulsewidth is 2 seconds. Figure 4.2d. Contour plot corresponding to Fig. 4.2c.)

光伏电池组 局部阴影时输出模型 P-U曲线 I-U曲线 simulink实现 (PV Systems Operating Under Partially Shaded Conditions)

gif图片转换成jpg文件格式 实例源码

盲去卷积复原图像的示例翻译，加入了中文标注，效果较好(deconvblind)

图象的冲击滤波程序,用于图象增强,用MATLAB语言编写(image filtering impact procedures for image enhancement, using MATLAB language)