Paper
18 June 2021 Image fusion method for of long-wave infrared sensor and low illumination CMOS
Jingwen Li, Lei Zhang, Xuejiao Zhang, Jiquan Li, Nie Liang, Yujiao Chen, Baoyuan Liu
Author Affiliations +
Proceedings Volume 11850, First Optics Frontier Conference; 1185005 (2021) https://doi.org/10.1117/12.2598969
Event: First Optics Frontier Conference, 2021, Hangzhou, China
Abstract
Image fusion method is an algorithm that synthesizes images from different sources into a new image. The advantage of image fusion technology is that different image information presented by multi-source sensors can complement and improve each other to extract the effective information in the source image. It can also obtain a more effective and richer image with description information. According to the technical methods of image fusion, an improved image fusion method for fast non-downsampled contourlet transform (NSCT) was selected for handheld. The source infrared image and source low-light image collected by the observer were image fusion. In this method, the scale filter and the directional filter were convolved respectively in the composition of image decomposition and reconstruction to reduce the number of iterations of image decomposition and reconstruction, improve the efficiency of algorithm operation, and ensure that the system worked in real time.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingwen Li, Lei Zhang, Xuejiao Zhang, Jiquan Li, Nie Liang, Yujiao Chen, and Baoyuan Liu "Image fusion method for of long-wave infrared sensor and low illumination CMOS", Proc. SPIE 11850, First Optics Frontier Conference, 1185005 (18 June 2021); https://doi.org/10.1117/12.2598969
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