CNN

利用极大似然估计进行盲反卷积复原，通过多帧图像约束，效果较好(Use of maximum likelihood estimates for blind deconvolution restoration by the multi-frame image constraint, the better)

选择一副灰度图像，用区域分裂合并法对其进行分割(Choose a grayscale image, with its regional divisions split merge method)

实现简单图像的分块处理，可以对大图像或者目标复杂图像分成小块单独处理(To achieve simple image of the block processing, you can large images or targets complex images into small pieces, separate processing)

人脸跟踪的一些主流算法的matlab实现(face tracking algorithm for the mainstream to achieve the Matlab)

说明：  实现图像模糊和恢复，有逆滤波恢复方法、傅里叶变换(Image blur and restoration are realized by inverse filtering and Fourier transform)

针对传统中值滤波算法的优缺点,提出了一种基于相似度函数的自适应加权中值滤波算法.(Abstract：According to excellence and shortcoming of conventional median filter algorithm，an algorithm called adaptive weighted median filter algorithm based on similarity function is proposed)

针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。(For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.)

利用 计算机强大的图像生成功能，快速、便捷地模拟生成实际战场环境下可能经历的 各种红外场景，逼真地反映探测制导系统的红外辐射分布(Using powerful computer image generation, quickly and easily simulate actual battlefield environment generated may experience a variety of infrared scene vividly reflect the guidance system to detect infrared radiation distribution)

可利用哈夫变换法在变换域提取直线，利用g共线和直线相交的关系，使直线提取问题转化为计数问题()

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.)