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- W4387665290 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." @default.
- W4387665290 created "2023-10-17" @default.
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- W4387665290 date "2023-10-17" @default.
- W4387665290 modified "2023-10-17" @default.
- W4387665290 title "Infrared and color image fusion method based on guided filtering" @default.
- W4387665290 doi "https://doi.org/10.1117/12.3009269" @default.
- W4387665290 hasPublicationYear "2023" @default.
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