antvrptw

about algorithms of image enhancement processing

短时傅里叶变换,主要用于故障诊断和信号处理，很好用(Short-time Fourier transform)

基于路径跟踪法的insar相位解缠的整个程序(tracking method based on the path of insar Phase Unwrapping the entire process)

采用快速简单的投影法和差影法实现条烟的缺陷检测(Fast simple video projection method and differential method to achieve Article smoke Defect Detection)

SURF的实现代码,用于图像特征提取，对于入门计算机视觉的同学有帮助(SURF implementation code for image feature extraction, for beginners of computer vision students help)

这是一个基于主动生长的边缘连接算法，自己编写(an edge linking algorithm based on autonomous edge growing for discontinuity edge of edge image caused by missed detection)

伯克利图像小组提出来的图像分割评价指标：边界误差。(Evaluation of image segmentation. Image: Berkeley group boundary error.)

说明：  基于最小变分方法的快速图像复原方法，图像复原质量不变的情况下，加速算法的效率。(Image restoration based on Total Variation.)

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)

本文提出了基于Retinex可变框架模型的图像增强算法。实验证明该算法不但能有效的增强图像的质量，还能避免Retinex算法中带来的光晕效应，同时算法速度与同类型的图像增强算法比较更快速。之后，将这种理论运用到对彩色图像增强中，取得了很好的处理效果。 （使用同方知网浏览器打开）(This paper presents a framework model based on variable Retinex image enhancement algorithm. Experiments show that this algorithm not only can effectively enhance the image quality, but also to avoid the Retinex algorithm brought halo effect, and algorithm speed and the same type of image enhancement algorithm is relatively faster. After this kind of theory to the enhancement of color images, achieved good treatment effect. (Text browser to use the same side open))