spfilt1

说明：  （1）图像基本操作：不同格式（大于3种）图像的读入与存盘、文字叠加、不同彩色空间的转换、图像的DCT及FFT变换等； （2）图像增强：包括直方图拉升（线性和非线性）、直方图均衡、平滑与锐化（采用不同的滤镜），美颜（加分项）； （3）图像恢复：几何操作（如旋转、缩放、投影校正等）、模糊恢复（如运动模糊消除等，加分项）； （4）图像合成（加分项）：实现换头、换背景、图像拼接等功能。((1) Basic operation of image: reading and saving of images in different formats (more than 3 kinds), text superposition, conversion of different color spaces, DCT and FFT transformation of images, etc; (2) Image enhancement: including histogram lifting (linear and non-linear), histogram equalization, smoothing and sharpening (using different filters), beauty (bonus item); (3) Image restoration: geometric operations (such as rotation, scaling, projection correction, etc.), blur restoration (such as motion blur elimination, etc., plus points); (4) Image synthesis (Bonus): realize the functions of head changing, background changing, image splicing, etc.)

对图像（Bmp）的智能读入界面设计，源代码(Read image (BMP), intelligent interface design, source code)

2、掌握Lee滤波与Refined-Lee滤波滤波效果ENL/ESI分析的原理及方法； 3、分析比较Lee滤波与Refined-Lee滤波的滤波性能； 4、分析滤波窗口与滤波效果的关系。 (2, master the principles and methods of filtering and Refined-Lee Lee filter filtering effect ENL/ESI analysis 3. Comparative analysis filtering performance Refined-Lee Lee filter and filter 4, analysis filtering window and filtering effect relationship.)

关于遥感影像分类和变化检测的一本外文数据，其特色在于用IDL实现了很多经典算法，很值得借鉴！(Foreign language data on a remote sensing image classification and change detection, which feature IDL achieve many classical algorithm, it is worth learning!)

机动目标跟踪，交互式多模型算法的代码，一个简单的例子(Maneuvering target tracking, interactive multiple model algorithm code, a simple example)

基于分块可压缩传感的图像重建，里面包括contourlet、DWT、DDWT、DCT，图像压缩传感与重建。(Based on the sub-block compressible sensing image reconstruction, which include the Contourlet DWT DDWT,, DCT image compression sensing and reconstruction.)

说明：  方向梯度直方图检测算子，能够提取图像的HOG特征，进行分类与识别(Directional gradient histogram detection operator can extract the hog features of the image for classification and recognition)

阴影去除，用于视频监控中的运动目标检测后提取运动目标(Shadow Removal for moving object detection in video surveillance Moving Target Extraction)

ZhouZhiqiang2014年发表论文及源码，论文为基于多尺度加权梯度的多聚焦图像融合Multi-scale weighted gradient-based fusion for multi-focus images(Multi-scale weighted gradient-based fusion for multi-focus images)

M-s中的CV方法( CV)