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应用参数化对数模型增强图像细节及对比度

Enhancement of image detail and contrast by parameterized logarithmic framework

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摘要

传统红外图像增强方法由于未考虑人眼视觉特性而存在"超区间值", 故极易丢失图像细节。本文结合对数图像处理(LIP)理论, 提出了基于参数化对数模型(PLIP)的平台直方图均衡图像增强方法。该方法首先将图像变换为灰度色调函数; 然后应用PLIP模型对变换后的图像进行重建, 结合平台直方图均衡化来增强图像的对比度和细节信息, 并利用图像评价函数( EMEE)与信息熵(En)确定模型的参数值。最后, 研制了算法硬件平台, 分别用中波和长波红外成像系统对算法进行了实验验证。实验结果显示: 该方法对不同场景的图像均可取得很好的增强效果, 图像的EMEE值比传统的平台直方图均衡算法提高至少5倍以上, 对改善图像质量和视觉效果具有实用价值。

Abstract

The traditional infrared image enhancing has “over range value” caused by not taking vision characters of human eye into consideration, therefore, image details are lost. In this paper, an enhanced algorithm based on Parameterized Logarithmic Image Pocessing(PLIP) model was proposed for histogram equalization image processing. First, the image was converted to a gray tone function. Then, the image was reconstructed by the PLIP model and its contrast and details were enhanced by combined plateau histogram equalization. The model parameters were determined by evaluation of function (Measurement of Enhancement by Entropy,EMEE) and information entropy (En). Finally, the hardware platform of the algorithm was developed, and the algorithm was verified respectively by the medium-wave and long-wave infrared image systems. Experimental results show that the method can obtain better enhanced effect for different images. The EMEE of the enhanced image is more than 5 times than traditional plateau histogram equalization algorithm. The results show that this method has an application value to improve the image quality and visual effect.

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补充资料

中图分类号:TN219;TP391

DOI:10.3788/ope.20142204.1064

所属栏目:信息科学

基金项目:中国科学院三期创新工程装备预研基金资助项目(No.51301060207)

收稿日期:2013-04-24

修改稿日期:2013-06-12

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朱瑞飞:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033中国科学院大学, 北京100039
贾宏光:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
王超:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
魏群:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
张天翼:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033
虞林瑶:中国科学院 长春光学精密机械与物理研究所, 吉林 长春 130033

联系人作者:朱瑞飞(zhuiruifei1105@163.com)

备注:朱瑞飞(1986-), 男, 山西朔州人, 博士研究生, 2009年于吉林大学获得学士学位, 主要从事红外图像处理方面的研究。

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引用该论文

ZHU Rei-fei,JIA Hong-guang,WANG Chao,WEI Qun,ZHANG Tian-yi,YU Lin-yao. Enhancement of image detail and contrast by parameterized logarithmic framework[J]. Optics and Precision Engineering, 2014, 22(4): 1064-1070

朱瑞飞,贾宏光,王超,魏群,张天翼,虞林瑶. 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

被引情况

【1】郝志成,吴川,杨航,朱明. 基于双边纹理滤波的图像细节增强方法. 中国光学, 2016, 9(4): 423-431

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

【3】陈博洋. 彩色遥感图像的亮度直方图局部线性化增强. 光学 精密工程, 2017, 25(2): 502-508

【4】张天一,汪相如,黄子强,吴亮,许剑华,谭庆贵. 液晶光学相控技术在卫星通信多接入中的应用. 红外与激光工程, 2017, 46(11): 1122004--1

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