An Effective Infrared and Visible Image Fusion Approach via Rolling Guidance Filtering and Gradient Saliency Map

To solve problems of brightness and detail information loss in infrared and visible image fusion, an effective infrared and visible image fusion method using rolling guidance filtering and gradient saliency map is proposed in this paper. The rolling guidance filtering is used to decompose the input...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-05, Vol.15 (10), p.2486
Main Authors: Li, Liangliang, Lv, Ming, Jia, Zhenhong, Jin, Qingxin, Liu, Minqin, Chen, Liangfu, Ma, Hongbing
Format: Article
Language:English
Subjects:
Algorithms
Comparative analysis
Computer vision
Decomposition
Dictionaries
energy attribute
Filtration
image fusion
Image processing
Images, Photographic
infrared and visible image
Infrared imagery
Infrared imaging
Methods
Neural networks
Principal components analysis
Remote sensing
rolling guidance filtering
Salience
saliency map
Sensors
Technology application
Wavelet transforms
weight matrices
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Summary:To solve problems of brightness and detail information loss in infrared and visible image fusion, an effective infrared and visible image fusion method using rolling guidance filtering and gradient saliency map is proposed in this paper. The rolling guidance filtering is used to decompose the input images into approximate layers and residual layers; the energy attribute fusion model is used to fuse the approximate layers; the gradient saliency map is introduced and the corresponding weight matrices are constructed to perform on residual layers. The fusion image is generated by reconstructing the fused approximate layer sub-image and residual layer sub-images. Experimental results demonstrate the superiority of the proposed infrared and visible image fusion method.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15102486