Infrared Image Enhancement Algorithm based on Weighted Guided Filtering

Jiawei Luo, Yanmei Zhang*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

Aiming at the problems of blurred details and over enhancement in traditional infrared image enhancement algorithms, an infrared image enhancement method based on guided weighted image filtering is proposed. Firstly, the gradient difference between the pixels around the image is used to find the isolated noise and the median filter is used to filter it; Then, the weighted guided image filter is used to decompose the image to obtain the basic component and detail component. The Contrast Limited Adaptive Histogram Equalization (CLAHE) is used to equalize the stretched contrast in the basic layer, and the nonlinear function is used to enhance and suppress the noise in the detail layer; Finally, different levels of results are fused to obtain contrast and detail enhanced infrared images. This method is used to simulate many groups of infrared images of different scenes, and compared with many enhancement methods. The results show that the proposed method has better results in infrared image detail and contrast enhancement.

源语言英语
主期刊名Proceedings of 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021
编辑Bing Xu, Kefen Mou
出版商Institute of Electrical and Electronics Engineers Inc.
332-336
页数5
ISBN(电子版)9781665428767
DOI
出版状态已出版 - 2021
活动2nd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021 - Chongqing, 中国
期限: 17 12月 202119 12月 2021

出版系列

姓名Proceedings of 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021

会议

会议2nd IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021
国家/地区中国
Chongqing
时期17/12/2119/12/21

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