Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

SDAM network structure.

More »

Fig 1 Expand

Fig 2.

Structure of the channel attention module.

More »

Fig 2 Expand

Fig 3.

Structure of the spatial attention module.

More »

Fig 3 Expand

Table 1.

SDAM network parameters.

More »

Table 1 Expand

Fig 4.

Partial examples of the dataset.

More »

Fig 4 Expand

Fig 5.

A qualitative comparison of SDAM with five state-of-the-art fusion methods on six typical pairs of infrared and visible images in the TNO dataset.

From top to bottom, they are: (a) the infrared image, (b) the visible image, (c) the fusion results of GANMcC, (d) the fusion results of IFCNN, (e) fusion results of SEDRFuse.

More »

Fig 5 Expand

Fig 6.

Qualitative comparison of SDAM and 5 state-of-the-art fusion methods on 6 typical pairs of infrared and visible images.

From top to bottom: (f) fusion results of RFN-Nest, (g) fusion results of STDFusion, (h) fusion results of MrFDDGAN, (i) fusion results of SOSMaskFuse, (j) fusion results of SDAM.

More »

Fig 6 Expand

Table 2.

Quantitative results on the TNO dataset.

The maximum value is highlighted in red and bold.

More »

Table 2 Expand

Fig 7.

Qualitative comparison of SDAM with 5 state-of-the-art fusion methods on 6 typical infrared and visible image pairs in the M3FD dataset.

From top to bottom: (a) the infrared image, (b) the visible image, (c) the fusion results of GANMcC, (d) the fusion results of IFCNN, (e) fusion results of SEDRFuse.

More »

Fig 7 Expand

Fig 8.

Qualitative comparison of SDAM and 5 state-of-the-art fusion methods on 6 typical pairs of infrared and visible images.

From top to bottom: (f) fusion results of RFN-Nest, (g) fusion results of STDFusion, (h) fusion results of MrFDDGAN, (i) fusion results of SOSMaskFuse, (j) fusion results of SDAM.

More »

Fig 8 Expand

Table 3.

Quantitative results on the M3FD dataset.

The maximum value is highlighted in red and bold.

More »

Table 3 Expand

Fig 9.

Impact of parameter variations on image fusion performance.

More »

Fig 9 Expand

Fig 10.

Representative results of ablation experiments under different parameters.

(a) Infrared image, (b) visible image, (c) α = 1, β = 10, γ = 10, (d) α = 10, β = 10, γ = 1, (e) α = 10, β = 1, γ = 10, (f) α = 1, β = 10, γ = 1, (g) α = 10, β = 1, γ = 1, (h) α = 1, β = 1, γ = 10.

More »

Fig 10 Expand

Fig 11.

Representative results of ablation experiment with and without channel attention.

(a) Infrared image, (b) Visible image, (c) Without channel attention, (d) With channel attention.

More »

Fig 11 Expand

Table 4.

Quantitative evaluation metrics with and without channel attention.

Maximum values are highlighted in bold and red.

More »

Table 4 Expand

Fig 12.

Representative results of spatial attention ablation experiment.

(a) Infrared image, (b) Visible image, (c) Without spatial attention, (d) With spatial attention.

More »

Fig 12 Expand

Table 5.

Quantitative evaluation metrics under conditions with and without spatial attention.

The maximum value is highlighted in bold red.

More »

Table 5 Expand