Infrared and visible image fusion via NSCT and gradient domain PCNN

Xin Zhang; Caishun Wang; Getao Chen; Jiajia Zhang; Wei Tan; Huan Li; Huixin Zhou

doi:10.1117/12.2606088

24 November 2021 Infrared and visible image fusion via NSCT and gradient domain PCNN

Xin Zhang, Caishun Wang, Getao Chen, Jiajia Zhang, Wei Tan, Huan Li, Huixin Zhou

Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 120651Y (2021) https://doi.org/10.1117/12.2606088
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

Infrared and visible image fusion can obtain an integrated image containing obvious object information and high spatial resolution background information. Therefore, combining the characteristics of infrared and visible images to obtain the fused image has important research significance. In this paper, an effective fusion algorithm based on non-subsampled contourlet transform (NSCT) is proposed. The method is based on the application of a modulated pulse-coupled neural network fusion (PCNN) strategy and an energy attribute fusion strategy in the NSCT domain. First, NSCT is used to decompose the input original image into low frequency sub-images and high frequency sub-images. Then, the high frequency sub-images are fused via a multi-level morphological gradient (MLMG) domain PCNN and the low frequency sub-images are fused via the energy attribute fusion strategy. Finally, the fused sub-images are reconstructed by inverse NSCT. Experimental results demonstrate that the proposed algorithm has a better fusion performance in both subjective evaluation and objective evaluation.

Citation Download Citation

Xin Zhang, Caishun Wang, Getao Chen, Jiajia Zhang, Wei Tan, Huan Li, and Huixin Zhou "Infrared and visible image fusion via NSCT and gradient domain PCNN", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 120651Y (24 November 2021); https://doi.org/10.1117/12.2606088

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KEYWORDS

Image fusion

Infrared imaging

Infrared radiation

Visible radiation

Image filtering

Modulation

Neural networks

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