The WIPI Model Based on Multi-Scale Local Contrast Post-Processing for Infrared Small Target Detection

Figures & data

Figure 1. Infrared small target detection with WIPI mode based on local contrast post-processing.

Figure 2. The construction diagram of IPI image.

Figure 3. Rank results in IR image sequences.

Table 1. Features of image sequences.

Feature	a	b	c	e	f	g
Image number	20	20	20	20	20	20
Target	1 flight	1 flight	1 flight	1 flight	1 flight	1 flight
Target size	2*2	2*2	3*3	2*2	2*2	3*3
Noise std	/	/	/	10	10	10
Backgound	heavy cloud	highlight buildings	complex buildings	heavy cloud	highlight buildings	complex buildings

Table 2. Comparison parameters with different detection methods.

Method	Parameters
Top-hat	template size 3*3
Godec	$\mathit{\text{patchsize}}=80*80,\mathit{\text{slidingstep}}=10,\mathit{\text{rank}}=6,\mathit{\text{card}}=3.1*{10}^5$
IPI + WNNM	$\mathit{\text{patchsize}}=80*80,\mathit{\text{slidingstep}}=10,\tau ={10}^{-6},\lambda =1/\sqrt{\mathrm{\text{min}}(m,n)}$
ReWIPI	$\mathit{\text{patchsize}}=80*80,\mathit{\text{slidingstep}}=10,\tau ={10}^{-6},\lambda =1/\sqrt{\mathrm{\text{min}}(m,n)},k\_\mathrm{\text{max}}=1,ϵ\_R=0.04,ϵ\_T=0.04$
Proposed	$\mathit{\text{patchsize}}=80*80,\mathit{\text{slidingstep}}=10,\tau ={10}^{-6},\lambda =1/\sqrt{(\mathrm{\text{min}}(m,n))},ϵ={10}^{-6},C=2.82,u=0.9,l=4$

Figure 4. Detection results for different methods in image (a).

Figure 5. 3D mesh results for different methods in image (a).

Figure 6. Detection results for different methods in image (b).

Figure 7. 3D mesh results for different methods in image (b).

Figure 8. Detection results for different methods in image (c).

Figure 9. 3D mesh results for different methods in image (c).

Figure 10. Detection results for different methods in noise image (e).

Figure 11. 3D mesh results for different methods in noise image (e).

Figure 12. Detection results for different methods in noise image (f).

Figure 13. 3D mesh results for different methods in noise image (g).

Figure 14. Detection results for different methods in noise image (g).

Figure 15. 3D mesh results for different methods in noise image (g).

Table 3. Comparison results of SCRG with different detection methods.

Method	a	b	c	e	f	g
Top-hat	26.704	13.484	9.689	2.083	2.321	4.266
Godec	19.964	7.067	9.587	6.029	6.145	8.755
IPI + WNNM	105.21	75.552	24.417	9.186	9.571	14.514
ReWIPI	128.184	85.185	25.565	53.845	43.595	31.735
Proposed	3825.343	832.543	91.451	664.329	673.488	126.088

Table 4. Comparison results of BSF with different detection methods.

Method	a	b	c	e	f	g
Top-hat	13.87	4.656	5.37	1.238	1.044	2.415
Godec	12.429	3.903	8.399	4.739	4.429	7.574
IPI + WNNM	61.16	30.97	19.963	6.919	5.89	11.714
ReWIPI	74.186	34.543	20.845	34.381	24.1291	24.195
Proposed	1979.645	285.258	55.156	335.058	246.77	66.425

Figure 16. ROC results for different methods in IR image sequences.