An Improved Fusion Method For Infrared And Low-Light Level Visible Image
2017 14TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP)(2017)
Abstract
In this paper, we propose an improved image fusion algorithm for infrared and visible images acquired under low illumination. Firstly, single scaled Retinex (SSR) algorithm is applied to enhance visible images. And then, both infrared image and the enhanced visible image are decomposed into multilayer images by Laplacian pyramid algorithm. Finally, the decomposed images are fused with the method based on regional features measurement. The experiment results show that even the source images are with low contrast and low illumination, the proposed algorithm can obtain fused images with highly enhanced contrast, which can easily distinguish targets from background, and is better able to preserve texture and detail from source images. Moreover, this SSR-Laplacian algorithm is universal for near-infrared images as well as thermal-infrared images.
MoreTranslated text
Key words
Infrared image,Low-light level image,Retinex,Regional features,Image fusion
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined