基于改进CLAHE的SF_(6)红外图像增强  

Infrared image enhancement of SF_(6)based on improved CLAHE

作　　者：刘陈瑶 胡梦竹 张龙飞 LIU Chenyao;HU Mengzhu;ZHANG Longfei(Electric Power Science Research Institute,Guangxi Power Grid Co.,Ltd.,Nan Ning 530000,China)

机构地区：[1]广西电网有限责任公司电力科学研究院,广西南宁530000

出　　处：《光学技术》2021年第1期107-112,共6页Optical Technique

摘　　要：针对六氟化硫(SF_(6))红外图像对比度低、纹理细节模糊而难以增强泄漏区域的问题,提出了基于改进限制对比度的自适应直方图均衡化(CLAHE)的SF_(6)红外图像增强算法。采用双边滤波将原始图像分为基础图像和细节图像;采用CLAHE算法来处理基础图像,提高泄漏区域的对比度;对细节图像进行分段线性变换和拉普拉斯变换图像,以突出图像的边缘;将两幅图像进行线性叠加以获取最终的红外图像,实现图像增强。实验结果表明,算法对SF_(6)红外图像泄漏区域的增强效果优于常见的几种红外图像增强算法,不仅有效地抑制了噪声和提高泄漏区域的对比度,而且突出泄漏区域的边缘,丰富了细节信息。The infrared image of sulfur hexafluoride(SF_(6))has low contrast and blurred texture details and it is difficult to enhance leakage areas.An improved SF_(6)infrared image enhancement algorithm based on adaptive histogram equalization(CLAHE)with limited contrast is proposed.First,the original image is divided into basic image and detail image by bilateral filtering.Then the CLAHE algorithm is used to process the basic image and improve the contrast of the leakage area.And the detail image is transformed by piecewise linear transformation and Laplace transform image.It can edge image of highlighted image.Finally,the two images are linearly stacked to reconstruct the final infrared image,and the image enhancement is realized.The experimental results show that the enhancement effect of the algorithm on the leakage area of the SF_(6)infrared image is better than that of several common infrared image enhancement algorithms.It not only effectively suppress the noise and improve the contrast of the leakage area,but also highlight the edge of the leakage area and enrich the detail information.

关 键 词：图像增强 SF_(6)红外图像 双边滤波 限制对比度的自适应直方图均衡化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]