彩色遥感图像的亮度直方图局部线性化增强

陈博洋

doi:10.3788/OPE.20172402.0502

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彩色遥感图像的亮度直方图局部线性化增强

信息科学 | 更新时间：2020-07-07

- 彩色遥感图像的亮度直方图局部线性化增强
- Local linear enhancement of luminance histogram of color remote sensing image
- 光学精密工程 2017年25卷第2期页码：502-508
- 作者机构：
  
  国家卫星气象中心, 北京 100081
- 作者简介：
  
  陈博洋 (1980-), 男, 黑龙江哈尔滨人, 博士, 副研究员, 2003年于中国科学技术大学获得学士学位, 2008年于中国科学院上海技术物理研究所获得博士学位, 现为国家卫星气象中心风云四号地面系统工程主任设计师, 主要从事空间遥感仪器顶层设计、遥感资料预处理和图像处理与评价。Email:chenby@cma.gov.cn CHEN Bo-yang, E-mail: chenby@cma.gov.cn
- 基金信息：
  
  国家自然科学基金面上项目(41375023)
- DOI：10.3788/OPE.20172402.0502
  中图分类号： TP751.1
- 收稿日期：2016-09-14，
  
  录用日期：2016-11-4，
  
  纸质出版日期：2017-02-25
- 稿件说明：
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陈博洋. 彩色遥感图像的亮度直方图局部线性化增强[J]. 光学精密工程, 2017,25(2):502-508.

Bo-yang CHEN. Local linear enhancement of luminance histogram of color remote sensing image[J]. Optics and precision engineering, 2017, 25(2): 502-508.
陈博洋. 彩色遥感图像的亮度直方图局部线性化增强[J]. 光学精密工程, 2017,25(2):502-508. DOI： 10.3788/OPE.20172402.0502.

Bo-yang CHEN. Local linear enhancement of luminance histogram of color remote sensing image[J]. Optics and precision engineering, 2017, 25(2): 502-508. DOI： 10.3788/OPE.20172402.0502.

摘要

针对遥感图像能量低的实际问题，提出了一种亮度直方图局部线性化图像增强方法来提高彩色遥感图像的可视效果。首先，对RGB模型描述的彩色遥感图像进行HSI变换，以有效分离H、S和I分量；其次，对亮度I分量进行传统的直方图均衡化，得到均衡化灰度映射曲线；然后，将图像梯度作为目标函数，求出最优的线性化折点位置，对灰度低端动态范围映射曲线进行线性化处理，得到局部线性化的灰度映射曲线；最后利用新的灰度映射曲线对图像进行增强处理。Himawari-8真彩色图像增强实验结果表明，经亮度直方图局部线性化增强后，像素平均梯度由73提高到了147，较传统的RGB域直方图均衡化的123及HSI域直方图均衡化的134高；图像信息熵由5.87提高到6.63，全部优于传统的RGB域直方图均衡化和HSI域直方图均衡化。本文方法有效地改善了彩色遥感图像的可视效果，提高了图像对不同目标的辨识能力。

Abstract

Aimed at actual problem of low energy of remote sensing image

a local linear image enhancement method of luminance histogram was put forward to improve visual effect of color remote sensing image. Firstly

HSI transformation was performed on color remote sensing image described by RGB model to separate component H

S and I effectively; secondly

traditional histogram equalization was implemented to luminance I component and gained equalized gray level mapping curve; then

by taking image gradient as objective function

the location of optimum linear break point were determined and linear processing was conducted to mapping curve within dynamic range at low side of gray level and gained local linear gray level mapping curve; finally

new gray level mapping curve was adopted to enhance image. Experimental result of Himawari-8 true color image enhancement shows that after local linear enhancement of luminance histogram

level gradient of pixel increases from 73 to 147

and with traditional RGB domain histogram equalization

it only increases to 123

with HSI domain histogram equalization

it increases to 134

and information entropy of image increases from 5.87 to 6.63

so it can be conclusion that the proposed algorithm is superior than other two algorithms in all aspects. The method improves visual effect of color remote sensing image effectively and improves identification capability of image to different objectives.

关键词

Keywords

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