Estimation-master

Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.

本代码实现了对高光谱遥感图像进行混沌序列置乱加密，其中包括读取三维立体遥感图像、混沌加密以及灰度直方图绘制(This code implements the hyperspectral remote sensing images chaotic sequence of scrambling encryption, including reading the three-dimensional sensing image, and histogram drawing Chaotic Encryption)

说明：  对于双基地SAR，使用BP算法进行成像，展示场景、回波信号、距离压缩后以及最后成像的图像。(For Bistatic SAR, BP algorithm is used to image the scene, echo signal, range compression and the final image.)

说明：  大二课程，用语言编写图像处理操作，运行时仔细体会算法(In the sophomore year, the image processing operation is written in the language, and the algorithm is realized carefully when running)

本程序实现了基于对比金字塔的图像融合算法，效果还不错，可以参考一下。(This procedure contrast pyramid based on the implementation of image fusion algorithms, the effect was not bad, you can reference.)

本代码使用引导滤波器去除图像中的雨滴 在对雨雪天气图像进行清晰化处理之前，要对其中的动态成分进行自动辨识和去除。快速有效的自动辨识及去除方法是构建自适应多种低能见度条件视觉增强算法的前提条件(This code USES the guided filter to remove image in the rain Before the clarifications in rain and snow weather image processing, to the dynamic content of the automatic identification and removal.Quick and efficient automatic identification and removal method is to construct the adaptive multiple visual enhancement algorithm is the premise of low visibility conditions)

说明：  冈萨雷斯数字图像处理matlab版源码DIPUM Toolbax(Gonzalez digital image processing matlab version of the source DIPUM Toolbax)

本文针对灰度图像的盲复原问题进行了一些研究，介绍了两种不同的图像盲复 原处理的方法。一种是误差一参数分析法，该方法适合于辨识可以用参数来表征的 点扩散函数，如线性移动模型和Gauss模型等，然后根据估计的参数确定退化图像 的点扩’散函数，再利用常规的复原算法(如维纳滤波法)对退化图像进行复原处理 另一种是非负支撑域约束递归逆滤波(NAS-R工F)算法，文中介绍了NAS-R工F算法 的基本思想，并结合正则化的思想，提出了NAS-RIF的改进算法，相应对该算法的 性能效果进行了仿真分析。 1.图像去噪MATLAB仿真程序.m 2.图像点扩展函数获取MATLAB仿真程序.m 3.约束最小二乘法图像复原MATLAB仿真程序.m()

光伏逆变系统中的最大功率点跟踪算法，采用的是快速收敛的改进的变步长的电导增量方法，由s函数编写(maximum power point tracking method, using variable step size inc method,written by s-function)

给定原图像和降噪或者加了噪声之后的图像，计算峰值信噪比PSNR(calculate PSNR)