基于Retinex的图像增强方法综述

Translated title of the contribution: Review of Image Enhancement Algorithms Based on Retinex

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Translated title of the contributionReview of Image Enhancement Algorithms Based on Retinex
Original languageChinese (Traditional)
Pages (from-to)1-11
Number of pages11
JournalShuju Caiji Yu Chuli/Journal of Data Acquisition and Processing
Volume34
Issue number1
DOIs
StatePublished - 1 Jan 2019

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