Optimization and application of Retinex algorithm in aerial image processing

被引：0

作者：

Sun, Bo ^{[1
]}

He, Jun ^{[1
]}

Li, Hongyu ^{[1
]}

机构：

[1] Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China

来源：

VISUAL INFORMATION PROCESSING XVII | 2008年 / 6978卷

关键词：

Retinex; aerial images; high contrast edges; halo; graying-out; segmentation; segmentation based Retinex; PhotoFlair;

D O I：

10.1117/12.777517

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we provide a segmentation based Retinex for improving the visual quality of aerial images obtained under complex weather conditions. With the method, an aerial image will be segmented into different regions, and then an adaptive Gaussian based on the segmentations will be used to process it. The method addresses the problems existing in previously developed Retinex algorithms, such as halo artifacts and graying-out artifacts. The experimental result also shows evidence of its better effect.

引用

页数：5

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