基于Retinex的图像增强方法综述

Review of Image Enhancement Algorithms Based on Retinex

Retinex作为一种源自人类视觉系统研究的颜色恒常性模型,在解决光照不均、色偏等方面都有非常广泛的应用。本文首先介绍了Retinex理论的来源与后续的发展。然后根据当前研究现状将Retinex模型分为路径模型、PDE(Partial differential equations)模型、变分模型和中央周边(Center-Surround)模型4种类型,并对每一种类型进行综述。最后介绍了Retinex在图像增强方面的典型应用,并总结4种Retinex模型的优劣,展望了Retinex的未来发展方向。

As a color consistence model derived from human visual system research,Retinex has been widely used in processing uneven illumination and color shift images.This paper first introduces the fundamental principle and subsequent development of Retinex theory.Then according to the current research status,the Retinex model is divided into four types:Path-based model,PDE(Partial differential equations)model,variational model and center-surround model,and each type of model is reviewed.Finally,the paper summarizes the advantages and disadvantages of the four Retinex models,and introduces the typical application of Retinex in image enhancement,as well as the future development direction.