Abstract
To solve the problems of the existing infrared and visible image fusion algorithms, such as the decrease of the contrast of the fusion image, the lack of the visual target, and the lack of the detail texture, an image fusion algorithm based on the visual saliency is proposed. Firstly, NSCT is used to decompose the two source images to obtain the corresponding low-frequency sub-band and a series of high-frequency sub-band; secondly, an improved FT algorithm is used to detect the visual saliency region of the low-frequency sub-band of different sources; Thirdly, according to the size of visual saliency, different weights are assigned to low-frequency sub-band of different sources, based on which fusion is carried out; fourthly, the high-frequency sub-band weight map is obtained by screening methods, and then the weighted image is used for fusion; finally, the final fusion image is obtained by inverse NSCT transform. The experimental results show that our method has a better visual effect and higher objective indicators than other classical image fusion methods.
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Zhang, F., Dong, X., Liu, M., Liu, C. (2021). Image Fusion Method for Transformer Substation Based on NSCT and Visual Saliency. In: Zu, Q., Tang, Y., Mladenović, V. (eds) Human Centered Computing. HCC 2020. Lecture Notes in Computer Science(), vol 12634. Springer, Cham. https://doi.org/10.1007/978-3-030-70626-5_8
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DOI: https://doi.org/10.1007/978-3-030-70626-5_8
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