基于双边滤波+retinex理论的图像中增强，增强图像细节

Collection of Computer Vision algorithms implemented in Matlab. Algorithms: seam carving ("Seam carving for content-aware image processing" by S. Avidan & A. Shamir, 2007) Algorithm and code are described in details http://kirilllykov.github.io/blog/2013/06/06/seam-carving-algorithm/ bilateral filter ("Bilateral filtering for gray and color images" by C. Tomasi & R. Manduchi, 1998) fast bilateral filter ("A fast approximation of the bilateral filter using a signal processing approach" by S. Paris & F. Durand, 2006) retinex ("Retinex by two bilateral filters" by M. Elad, 2005) shape from shading algorithm by Horn and Ikeuchi ("The Variational Approach to Shape from Shading" by B. Horn and M. Brooks, 1985) optical flow algorithm by Horn-Shunck for an array of input images ("Determining optical flow" by Horn and Schunck, 1980) generator of random surface and closed curve, auxiliary code

Retinex Matlab算法，可以运行

这里边有单尺度，多尺度等等的Retinex的Matlab程序，挺好用的

色彩改进型Retinex彩色图像增强方法

用opencv实现retinex算法，包括单尺度和多尺度Retinex

二型模糊彩色图像的边缘检测方法研究(Retinex) 硕士学位论文。

搜集到的几个基于retinex算法的代码，用的是matlab，测试通过

本程序是通过Matlab编写的基于双边滤波的图像增强，希望能对研究这方面的朋友有所帮助！

雾天的大气退化图像具有对比度低、景物不清晰的特点，给交通系统及户外视觉系统的应用带来严重的影响。因此，雾天低对比度图像的清晰化研究有着重要的意义。图像的清晰化方法具体可分为图像增强和图像恢复两种，本文主要针对图像增强的方法进行研究