基于非下采样Contourlet变换的红外图像#br#
非线性增强新方法

doi:10.3969/j.issn.1006-2475.2017.03.016

计算机与现代化

基于非下采样Contourlet变换的红外图像#br# 非线性增强新方法

河海大学物联网工程学院，江苏常州213022

收稿日期:2016-07-21 出版日期:2017-03-29 发布日期:2017-03-30
作者简介:郭珉(1992-)，男，安徽五河人，河海大学物联网工程学院硕士研究生，研究方向：信号与信息处理; 蒋爱民(1979-)，男，江苏扬州人，副教授，博士生导师，博士，研究方向：信号与信息处理；曹美（1989-），男，安徽合肥人，硕士研究生，研究方向：图像处理。

New Infrared Image Nonlinear Enhancement Algorithm #br# Based on Nonsubsampled Contourlet Transform

College of IOT Engineering, Hohai University, Changzhou 213022, China

Received:2016-07-21 Online:2017-03-29 Published:2017-03-30

摘要/Abstract

摘要：

针对红外图像存在对比度和分辩率低、噪声大的问题，提出一种基于非下采样Contourlet变换的夜间红外图像增强新算法。首先对实际采集的夜间红外图像进行非下采样Contourlet变换得到图像

的高频系数和低频系数，对于高频系数采用自适应阈值法确定高频阈值，通过判断边缘信息对弱边缘和强边缘做不同的处理，提升图像的边缘信息，而低频系数采用改进的伽马变换进行非线性修正处理

提升图像的对比度；最后经反变换得到增强后的图像。实验结果表明，提出的算法能有效抑制红外图像的噪声，提高图像的对比度信息，视觉效果良好。

关键词: 红外图像增强, 自适应阈值, 非线性修正, 伽马变换

Abstract:

Considering the problems that the low contrast and large noise are two main characteristics of infrared image, the infrared image enhancement method is presented in

this paper, which is based on normal distribution characteristics and NSCT transform. First of all, images high frequency coefficients and lowfrequency coefficients are got

by the actual acquisition of nighttime infrared image nonsubsampled contourlet transform, for high frequency coefficients, the adaptive threshold method is used to determine the

high frequency threshold. By judging the edge information, the weak edge and strong edge are made different processing to enhance the edge of the image information. The low

frequency coefficients are made nonlinear correction by using the improved Gamma transform to improve the contrast of the image. Finally, the enhanced image is obtained by

inverse transform. The experimental results show that the proposed algorithm can effectively suppress the noise of infrared image, improve the image contrast information, and

the visual effect is good.

Key words: infrared image enhancement, adaptive threshold, nonlinear correction, Gamma transformation


中图分类号:

TP391.4

郭珉，蒋爱民，曹美. 基于非下采样Contourlet变换的红外图像#br# 非线性增强新方法[J]. 计算机与现代化, doi: 10.3969/j.issn.1006-2475.2017.03.016.

GUO Min, JIANG Aimin, CAO Mei. New Infrared Image Nonlinear Enhancement Algorithm #br# Based on Nonsubsampled Contourlet Transform[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2017.03.016.

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基于非下采样Contourlet变换的红外图像#br# 非线性增强新方法

New Infrared Image Nonlinear Enhancement Algorithm #br# Based on Nonsubsampled Contourlet Transform

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