CVPR18_TM_codes

一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

sift匹配算法,来个Lowe的个人博客(sift match)

基于meanshift算法的目标跟踪，主要是基于opencv车辆跟踪！！！程序当中进行简单的图像分割(Based on the meanshift algorithm of image segmentation and target tracking.)

二维Renyi熵图像分割源代码（原创） 参考文献见源代码。(source code for two-dimensional Renyi entropy thresholding algorithm)

图像处理作业：基于高频补偿算法实现图像滤波及分析 数值分析作业：四种方法实现求解根号3的值(Image processing operations: image filtering and analysis of numerical analysis operations: four methods based on high-frequency compensation algorithm to solve the root of the value)

对一个图像进行红蓝立体画制作，使得呈现3D效果。(to make a picture viewed as 3D)

说明：  基于matlab上的菲涅耳离轴全息记录与再现程序，能对图像进行相应处理得到其全息图。同时能将其再现还原。(Based on the Fresnel off-axis holographic recording and reconstruction program on MATLAB, the hologram of the image can be obtained by corresponding processing. At the same time, it can be reproduced and restored.)

用Matlab写的Bayer插值与白平衡算法，包含双线性和边缘检测两种插值算法以及White Patch自动白平衡算法(Bayer Interpolation and white balance algorithm implemented with matlab.)

一个基于MATLAB环境的图像分割算法，运用最大熵解决图像分割问题。(An image segmentation algorithm based on MATLAB environment is applied to solve the problem of image segmentation using maximum entropy.)

说明：  模式识别与图像处理，图像的边缘处理，增强(Pattern recognition and image processing, image edge processing, to enhance)