Enhancement of image texture and contrast combined with partial differential equation

HAN Xi-zhen; ZHAO Jian

doi:10.3788/OPE.20122006.1382

您当前的位置：

首页 >

文章列表页 >

Enhancement of image texture and contrast combined with partial differential equation

更新时间：2020-08-12

- Enhancement of image texture and contrast combined with partial differential equation
- Optics and Precision Engineering Vol. 20, Issue 6, Pages: 1382-1388(2012)
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122006.1382
  CLC： TP391.4
- Received：23 December 2011，
  
  Revised：21 January 2012，
  
  Published Online：10 June 2012，
  
  Published：10 June 2012
- 稿件说明：
移动端阅览
韩希珍, 赵建. 结合偏微分方程增强图像纹理及对比度[J]. 光学精密工程, 2012,20(6): 1382-1388

HAN Xi-zhen, ZHAO Jian. Enhancement of image texture and contrast combined with partial differential equation[J]. Editorial Office of Optics and Precision Engineering, 2012,20(6): 1382-1388
韩希珍, 赵建. 结合偏微分方程增强图像纹理及对比度[J]. 光学精密工程, 2012,20(6): 1382-1388 DOI： 10.3788/OPE.20122006.1382.

HAN Xi-zhen, ZHAO Jian. Enhancement of image texture and contrast combined with partial differential equation[J]. Editorial Office of Optics and Precision Engineering, 2012,20(6): 1382-1388 DOI： 10.3788/OPE.20122006.1382.

摘要

针对图像获取过程中外界光照的非均匀性会使图像存在阴影区和高亮区

从而丢失图像细节的问题

本文结合偏微分理论

提出了基于直方图均衡化的偏微分图像增强方法。该方法首先将图像变换到梯度域

通过梯度场的变换得到新的梯度函数;然后应用最小二乘原理

对梯度场中变换后的图像进行重建以增强图像的纹理细节

表现原本不清楚的细节信息。另外

针对光照的不均匀特性

结合直方图均衡化

提出反均衡变换来增强图像的亮度和对比度。提出的算法采用有限差分法将图像离散化

并与热方程相结合

其计算简单

运行速度快

具有较强的灵活性和较广的应用范围。采用Visiual C++编程

对于大小为512 pixel×512 pixel的图像的处理时间为35 ms

达到了视频实时增强显示要求。

Abstract

The non-uniform distribution of light illumination makes images show some shadow areas and highlight areas in the process of collecting images

which will lose a lot of image details. To solve this problem

this paper proposes a partial differential image enhancement method based on histogram equalization. First

this method transforms the image into a gradient domain

and the new gradient function is obtained through the gradient field transformation. Then

by using the least square principle to reconstruct the image from the gradient field

the textures and details of the image are enhanced and the unknown details are shown all. According to the non-uniform properties of light illumination

anti-balanced transformation is proposed by combining with the histogram equalization to adjust the brightness and contrast of the images. Furthermore

it uses the finite difference method to discrete the image. By combining with the heat equation

the method has characteristics of simple calculation

fast operation

stronger flexibility and wider applications. Based on programming by Visiual C++

its image processing time is 35 ms for an image with the size of 512 pixel?512 pixel

which meets the requirements of real-time image enhancement systems.

关键词

Keywords

references

孙春凤,袁峰. 面积递归分解的部分重叠局部直方图均衡[J]. 光学精密工程,2009,17(9):2292-2300. SUN CH F,YUAN F.Partially overlapped sub-block histogram equalization based on recursive equal area separateness[J].Opt.Precision Eng.,2009,17(9):2292-2300.(in Chinese)

王彦臣,李树杰,黄廉卿. 基于多尺度Retinex的数字X光图像增强方法研究[J]. 光学精密工程,2006,14(1):70-76. WANG Y CH,LI SH J,HUANG L Q.Enhancement of radiography based multiscale Retinex[J].Opt.Precision Eng.,2006,14(1):70-76.(in Chinese)

葛微,李桂菊,程宇奇,等. 利用改进的Retinex 进行人脸图像光照处理[J]. 光学精密工程,2010,18(4):1011-1020. GE W,LI G J,CHEN Y Q,et al..Face image illumination processing based on improved Retinex[J].Opt.Precision Eng.,2010,18(4):1011-1020.(in Chinese)

陈志刚,尹福昌. 基于Contourlet变换的遥感图像增强算法[J]. 光学精密工程,2008,16(10):2030-2037. CHEN ZH G, YIN F CH.Enhancement of remote sensing image based on Contourlet transform[J].Opt.Precision Eng.,2008, 16(10):2030-2037.(in Chinese)

JIN L X Z,SATON SH CH,SAKAUCHI M. A novel adaptive image enhancement algorithm for face detection . The 17th International Conference on Pattern Recognition (ICPR’04),2004:843-848.

PERONA P, MALIK J. Scale-space and edge detection using anisotropic diffusion [J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 1990,12:629-639.

WANG Y,NIU R Q. Forward-and-backward diffusion for hyperspectral remote sensing image smoothing and enhancement[J]. SPIE, 2008, 7285:72851C-1-72851C-12.

KORNPROBST P,DERICHE R,AUBERT G. Image restoration via PDE[J]. SPIE, 2002,2942:22-33.

杨永敏,樊继壮,赵杰. 强反射表面缺陷图像预处理[J]. 光学精密工程,2010,18(10):2288-2296. YANG Y M,FAN J ZH,ZHAO J.Preprocessing for highly reflective surface defect image[J].Opt.Precision Eng.,2010,18(10):2288-2296.(in Chinese)

YIN J,TIAN X L,TANG Z SH. A histogram-based fast enhancement algorithm for CT head images . Intl. Conf. on Biomedical and Pharmaceutical Engineering (ICBPE) IEEE, 2006:39-43.

冯象初,王卫卫.图像处理的变分和偏微分方程方法[M]. 北京:科学出版社,2009:114-125. FENG X C,WANG W W. Image Processing Method of Variational and Partial Differential Equations[M].Beijing: Science Press,2009:114-125. (in Chinese)

朱立新,王平安,夏德深. 基于梯度场均衡化的图像对比度增强[J]. 计算机辅助设计与图形学学报,2007,12(19):1546-1552. ZHU L X, WANG P A, XIA D S. Image contrast enhancement by radient field equalization[J]. Journal of Computer-Aided Deslen & Computer Graphics,2007,19(12):1546-1552. (in Chinese)

陈守水,杨新.基于偏微分方程的图像降噪及质量评价研究 . 上海:上海交通大学,2008. CHEN SH SH,YANG X.Application of partial differential equation in image noise reduction and image quality assessment .Shanghai: Shanghai Jiao Tong University,2008.(in Chinese)

Views

735

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Local linear enhancement of luminance histogram of color remote sensing image

Adaptive color compensation and multi-scale fusion for underwater image enhancement

Degradation remote sensing image quality enhancement based on frequency-domain-spatial-domain hybrid attention

Underwater image enhancement using joint texture perception and color histogram features

Cross-level feature aggregation image enhancement with dual-path hybrid attention

Related Author

Bo-yang CHEN

LIU Cuiyin

JING Tengyun

WANG Feng

CHEN Yuanshuai

WEI Hua

TANG Xiongxin

NIE Haitao

Related Institution

National Satellite Meteorological Center

School of Physics and Material Sciences， Guangzhou University

School of Information Engineering and Automation， Kunming University of Science and Technology

Changchun Institute of Optics，Fine Mechanics and Physics，Chinese Academy of Sciences

Laboratory of Science and Technology on Integrated Information System， Institute of Software， Chinese Academy of Sciences

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰