Infrared and color image fusion method based on guided filtering

Qifan Chen; Guihua Cui; Donghui Li; Zheng Zhao; Yuan Yao

doi:10.1117/12.3009269

16 October 2023 Infrared and color image fusion method based on guided filtering

Qifan Chen, Guihua Cui, Donghui Li, Zheng Zhao, Yuan Yao

Proceedings Volume 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023); 1280303 (2023) https://doi.org/10.1117/12.3009269
Event: 2023 5th International Conference on Artificial Intelligence and Computer Science (AICS 2023), 2023, Wuhan, China

Abstract

In this paper, an infrared and color image fusion algorithm based on guided filtering was proposed . The intensity and chromaticity component of the color image in a color space, e.g., HSV, was extracted first. Secondly, in order to avoid edge blurring and reduce computing costs, guided filtering was used to decompose the intensity component of the infrared image and color image to obtain their base layer and detail layer, respectively. Then, the two base and two detail layers were fused using the proposed method separately. The clear and supplementary areas were distinguished by the sum of gradients, the initial base layer was obtained by preliminary fusion, and the intensity level of the fused base layer was adjusted similarly to that of the color image. The two detail layers were fused simply by selecting their maximum absolute value of the gradient map in each pixel, and the intensity component of the fused image was obtained by inverse transformation. Finally, the fused color image was reconstructed by merging the fused intensity component and original chromaticity components. Multiple sets of images were selected for testing the proposed algorithm, and some state-of-art algorithms in the experiment, and the results show that the proposed algorithm had good image visibility, stable color, and fast fusion speed.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Qifan Chen, Guihua Cui, Donghui Li, Zheng Zhao, and Yuan Yao "Infrared and color image fusion method based on guided filtering", Proc. SPIE 12803, Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023), 1280303 (16 October 2023); https://doi.org/10.1117/12.3009269

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KEYWORDS

Image fusion

Infrared imaging

Infrared radiation

Tunable filters

Image filtering

Color

Optical filters

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