Local linear enhancement of luminance histogram of color remote sensing image

Bo-yang CHEN

doi:10.3788/OPE.20172402.0502

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Local linear enhancement of luminance histogram of color remote sensing image

Information Sciences | 更新时间：2020-07-07

- Local linear enhancement of luminance histogram of color remote sensing image
- Optics and Precision Engineering Vol. 25, Issue 2, Pages: 502-508(2017)
- 作者机构：
  
  国家卫星气象中心, 北京 100081
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20172402.0502
  CLC： TP751.1
- Received：14 September 2016，
  
  Accepted：04 November 2016，
  
  Published：25 February 2017
- 稿件说明：
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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：

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

references

GONZALEZ R C, WOODS R E. Digital Image Processing[M].Second Edition, Publishing House of Electronics Industry, 2008, 4:233-235.

赵文达, 续志军, 赵建, 等.基于梯度直方图变换增强红外图像的细节[J].光学精密工程, 2014, 22(7):1962-1968.

ZHAO W D, XU ZH J, ZHAO J, et al.. Enhancement of infrared image details based on gradient histogram transform[J]. Opt. Precision Eng., 2014, 22(7):1962-1968. (in Chinese)

刘欣悦, 黄廉卿.利用多分辨率直方图特征分类数字X光乳腺图像[J].光学精密工程, 2006, 14(2):327-332.

LIU X Y, HUANG L Q. Classification of digital mammograms using multi-resolution histrogram features[J]. Opt. Precision Eng., 2006, 14(2):327-332. (in Chinese)

朱瑞飞, 贾宏光, 王超, 等.应用参数化对数模型增强图像细节及对比度[J].光学精密工程, 2014, 22(4):1064-1070.

ZHU R F, JIA H G, WANG CH, et al.. Enhancement of image detail and contrast by parameterized logarithmic framework[J]. Opt. Precision Eng., 2014, 22(4):1064-1070. (in Chinese)

刘松林, 孙刚, 牛照东, 等.基于相对相位直方图的数字表面模型数据与遥感图像配准[J].光学精密工程, 2014, 22(6):1696-1705.

LIU S L, SUN G, NIU ZH D, et al.. Registration of DSM data and remote sensing image based on relative phase histogram[J]. Opt. Precision Eng., 2014, 22(6):1696-1705. (in Chinese)

KIM Y T. Contrast enhancement using brightness preserving bi-histogram equalization[J]. IEEE Transactions on Consumer Electronics, 1997, 43(1):1-8.

WANG Y, CHEN Q, ZHANG B M. Image enhancement based on equal area dualistic sub-image histogram equalization method[J]. IEEE Transactions on Consumer Electronics, 1999, 45(1):68-75.

CHEN S D, RAMLI A R. Minimum mean brightness error bi-histogram equalization in contrast enhancement[J]. IEEE Transactions Consumer Actions. on Electronics, 2003, 49(4):1310-1319.

CHEN S D, RAMLI A P. Contrast enhancement using recursive mean-separate histogram equalization for scalable brightness preservation[J]. IEEE Transactions on Consumer Electronics, 2003, 49(4):1301-1309.

MENOTTI D, NAJMAN L, FACON J, et al.. Multi-histogram equalization methods for contrast enhancement and brightness preserving[J]. IEEE Transactions on Consumer Electronics, 2007, 53(3):1186-1194.

张云峰.基于场景复杂度计算的红外图像平台直方图均衡[J].液晶与显示, 2016, 31(7):695-702.

ZHANG Y F. Adaptive plate histogram equalization for infrared image based on scene complexity computation[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(7):695-702. (in Chinese)

贺明, 张天一, 王亚弟, 等.基于小波变换直方图规定的非均匀性校正算法[J].红外与激光工程, 2013, 42(12):3481-3485.

HE M, ZHANG T Y, WANG Y D, et al.. Non-uniformity correction algorithm based on wavelet transform histogram normalization[J]. Infrared and Laser Engineering, 2013, 42(12):3481-3485. (in Chinese)

贺明, 王亚弟, 贺菁, 等.双边滤波直方图均衡的非均匀性校正算法[J].红外与激光工程, 2013, 42(10):2621-2624.

HE M, WANG Y D, HE J, et al.. Non-uniformity correction algorithm based on bilateral filter histogram equalization[J]. Infrared and Laser Engineering, 2013, 42(10):2621-2624. (in Chinese)

王勇, 刘雯.改进的图像增强直方图统计方法[J].吉林大学学报:信息科学版, 2015, 33(5):495-500.

WANG Y, LIU W. Improved image enhancement histogram-equalization method[J]. Journal of Jilin University (Information Science Edition), 2015, 33(5):495-500. (in Chinese)

田小平, 乔东, 吴成茂.基于双直方图均衡化的彩色图像增强[J].西安邮电大学学报, 2015, 20(2):58-63.

TIAN X P, QIAO D, WU CH M. Color image enhancement based on bi-histogram equalization[J]. Journal of Xi'an University of Posts And Telecommunications, 2015, 20(2):58-63. (in Chinese)

徐少平, 杨荣昌, 刘小平.信息量加权的梯度显著度图像质量评价[J].中国图象图形学报, 2014, 19(2):201-210.

XU SH P, YANG R CH, LIU X P. Information content weighted gradient salience structural similarity index for image quality assessment[J]. Journal of Image and Graphics, 2014, 19(2):201-210. (in Chinese)

杜欣宇, 陈丽芳, 刘渊.基于分块信息熵的彩色图像融合算法[J].计算机系统应用, 2015, 24(7):22-28.

DU X Y, CHEN L F, LIU Y. Color image fusion algorithm based on block information entropy[J]. Computer Systems Applications, 2015, 24(7):22-28. (in Chinese)

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