Infrared and visual image fusion via iterative quadtree decomposition and Bézier interpolation

Yu Zhang; Lijia Zhang; Jianjun Shen; Shunli Zhang; Xiangzhi Bai

doi:10.1117/12.2644270

12 October 2022 Infrared and visual image fusion via iterative quadtree decomposition and Bézier interpolation

Yu Zhang, Lijia Zhang, Jianjun Shen, Shunli Zhang, Xiangzhi Bai

Proceedings Volume 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022); 123422F (2022) https://doi.org/10.1117/12.2644270
Event: Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 2022, Wuhan, China

Abstract

Infrared and visual image fusion aims to integrate the salient and complementary features of the infrared image and visual image into one informative image. To achieve this purpose, we have proposed an infrared and visual image fusion method via iterative quadtree decomposition and Bézier interpolation. To be specific, each source image is first decomposed to image patches of multiple sizes in a quadtree structure according to a fixed threshold, then each image patch in the quadtree structure is smoothed by interpolating its four-by-four uniformly distributed pixels with the Bézier interpolation method. With the iteratively smoothed images, multiple scales of bright and dark feature maps of each source image can be gradually extracted from the difference image of every two continuously smoothed images. At last, fusion of the infrared image and visual image can be realized by fusing their multiple scales of bright, dark features and their base images (i.e., final-scale smoothed images). Extensive experiments verify that the proposed method outperforms five state-of-the-art image fusion methods in both qualitative and quantitative evaluations.

Citation Download Citation

Yu Zhang, Lijia Zhang, Jianjun Shen, Shunli Zhang, and Xiangzhi Bai "Infrared and visual image fusion via iterative quadtree decomposition and Bézier interpolation", Proc. SPIE 12342, Fourteenth International Conference on Digital Image Processing (ICDIP 2022), 123422F (12 October 2022); https://doi.org/10.1117/12.2644270

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KEYWORDS

Image fusion

Infrared imaging

Visualization

Infrared radiation

Image visualization

Feature extraction

Information fusion

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