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线性变换与局部均衡融合的红外图像增强

魏艳平

激光技术2024,Vol.48Issue(5):705-710,6.
激光技术2024,Vol.48Issue(5):705-710,6.DOI:10.7510/jgjs.issn.1001-3806.2024.05.014

线性变换与局部均衡融合的红外图像增强

Infrared image enhancement by fusion of linear transformation and local equalization

魏艳平1

作者信息

  • 1. 南昌工学院 信息与人工智能学院,南昌 330108,中国
  • 折叠

摘要

Abstract

Aiming at improving the effect of infrared image,increasing its contrast and clarity and enriching its edge and detail information,an infrared image enhancement method by fusion of linear transformation and local equalization was proposed.According to the intensity distribution of image,adaptive piecewise linear transformation on the intensity of pixel was performed,and local histogram equalization on the image was carried out.Then,the contrast weight,saliency weight and brightness weight of the two enhanced images were calculated,respectively.Finally,multi-scale Laplace pyramid decomposition and Gaussian pyramid decomposition were performed on the enhanced images and the corresponding weights,respectively,and multi-scale linear fusion with the decomposed images and the corresponding weights were performed to obtain the final enhanced image.According to the experimental results,it is confirmed that the effectiveness of proposed method compared to existing methods,the enhanced images go with better visual effect,and the information entropy,average gradient and coefficient of variation are higher than existing methods by more than 9.03%,23.87%and 9.97%,respectively.This study could improve infrared image enhancement performance more effectively.

关键词

图像处理/对比度/变异系数/像素变换/局部直方图均衡/多尺度金字塔融合

Key words

image processing/contrast/coefficient of variation/pixel transformation/local histogram equalization/multi-scale pyramid fusion

分类

信息技术与安全科学

引用本文复制引用

魏艳平..线性变换与局部均衡融合的红外图像增强[J].激光技术,2024,48(5):705-710,6.

基金项目

国家自然科学基金资助项目(61562063) (61562063)

江西省教育厅科学技术研究项目(GJJ2202909,GJJ191092) (GJJ2202909,GJJ191092)

江西省高等学校教学改革课题(JXJG-21-27-3) (JXJG-21-27-3)

南昌工学院科技计划博士专项基金资助项目(NGKJ-22-01) (NGKJ-22-01)

激光技术

OA北大核心CSTPCD

1001-3806

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