引导滤波与像素重分布的低照图像增强
Low light image enhancement based on guided filter and pixel redistribution
钱军 1万里勇2
作者信息
- 1. 江西建设职业技术学院大数据与智慧校园中心,江西南昌 330200
- 2. 江西师范大学管理科学与工程研究中心,江西南昌 330022;南昌工学院信息与人工智能学院,江西南昌 330108
- 折叠
摘要
针对现有的图像增强方法存在欠增强、过增强以及对比度低等缺陷,提出了一种引导滤波与像素重分布的低照图像增强算法.方法充分利用引导滤波的边缘保持特性,用引导滤波对光照图像进行估计,然后对光照图像的像素进行相对均匀重分布,全面提升光照图像的亮度与对比度.最后将像素重分布增强处理后的光照图像和反射图像作反Retinex变换,得到最后的增强图像.实验结果证明,相对现有的图像增强方法,本文方法具有更优的图像增强效果,图像对比度与纹理结构更清晰.
Abstract
Aiming at overcoming the limitations of under enhancement,over enhancement and low contrast in the existing image enhancement methods,a low light image enhancement method based on guided fil-ter and pixel redistribution is proposed.This method estimates the illumination part of image with guided filter,taking full advantage of the edge preservation capability of the guided filter;the pixels of the illu-mination image are subjected to relatively uniformly redistribution,so as to comprehensively improve the brightness and contrast of illumination image.The final enhanced image is obtained by performing inverse Retinex transformation on the illumination image enhanced by pixel redistribution and the refleced im-age.The experimental results confirm that compared with existing enhancement methods,the proposed method achieves better enhanced effect,the contrast and textural structures of enhanced image are clea-rer.
关键词
图像增强/Retinex/引导滤波/像素重分布Key words
image enhancement/Retinex/guided filter/pixel redistribution引用本文复制引用
基金项目
江西省教育厅科学技术研究项目(GJJ2207302)
江西省教育厅科学技术研究项目(GJJ191100)
江西省教育厅科学技术研究项目(GJJ212517)
江西省教育科学"十四五"规划课题(19YB266)
江西省教育科学"十四五"规划课题(21YB248)
南昌工学院科技计划博士专项(NGKJ-22-01)
出版年
2023
NETL
NSTL
维普
万方数据