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Optical Engineering • Open Access

Research on fusion technology based on low-light visible image and infrared image
Author(s): Shuo Liu; Yan Piao; Muhammad Tahir

Paper Abstract

Image fusion technology usually combines information from multiple images of the same scene into a single image so that the fused image is often more informative than any source image. Considering the characteristics of low-light visible images, this study presents an image fusion technology to improve contrast of low-light images. This study proposes an adaptive threshold-based fusion rule. Threshold is related to the brightness distribution of original images. Then, the fusion of low-frequency coefficients is determined by threshold. Pulse-coupled neural networks (PCNN)-based fusion rule is proposed for fusion of high-frequency coefficients. Firing times of PCNN reflect the amount of detail information. Thus, a high-frequency coefficient corresponding to maximum firing times is chosen as the fused coefficient. Experimental results demonstrate that the proposed method obtains high-contrast images and outperforms traditional fusion approaches on image quality.

Paper Details

Date Published: 8 December 2016
PDF: 9 pages
Opt. Eng. 55(12) 123104 doi: 10.1117/1.OE.55.12.123104
Published in: Optical Engineering Volume 55, Issue 12
Show Author Affiliations
Shuo Liu, Changchun Univ. of Science and Technology (China)
Yan Piao, Changchun Univ. of Science and Technology (China)
Muhammad Tahir, Changchun Univ. of Science and Technology (China)

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