Hierarchical convolution filtering method for infrared dim small target detection

Table 1. Infrared sequence image information
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Table 1. Infrared sequence image information
图像序列帧数图像大小目标数量目标尺寸
Seq.6 325 256×256 1 3×3
Seq.7 597 256×256 1 3×3
Seq.8 266 256×256 1 3×3
Seq.9 276 256×256 1 3×3
Seq.10 290 256×256 1 3×3

Table 2. Comparison of SCRG values of six methods on Seq.6~10

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Table 2. Comparison of SCRG values of six methods on Seq.6~10

算法	图像序列
算法	Seq.6	Seq.7	Seq.8	Seq.9	Seq.10
TopHat	1 501.57	78.90	0.93	1 062.44	12.55
IPI	24 184.64	332.68	8.66	70.49	19.08
LCM	7 971.7	512.41	4.09	8 441.12	29.78
MPCM	10 099.61	61.68	10.67	10 891.93	55.73
LoG	3 613.22	81.99	2.2	2 967.2	15.06
Ours	30 663	734.65	28.14	16 763.96	57.51

Table 3. Comparison of BSF values of six methods on Seq.6~10

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Table 3. Comparison of BSF values of six methods on Seq.6~10

算法	图像序列
算法	Seq.6	Seq.7	Seq.8	Seq.9	Seq.10
TopHat	268.01	228.77	265.74	246.53	639.97
IPI	25.19	10.48	10.35	14.87	12.84
LCM	165.27	134.29	173.25	193.29	178.09
MPCM	124.59	327.89	227.86	207.17	563.92
LoG	555.63	421.91	493.86	506.00	1 182.76
Ours	888.35	1 503.29	8 004.54	1 231.68	3 992.90

Table 4. Average running time of six methods on Seq.6~101 s

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Table 4. Average running time of six methods on Seq.6~101 s

算法	图像序列
算法	Seq.6	Seq.7	Seq.8	Seq.9	Seq.10
TopHat	0.010 0	0.010 6	0.010 5	0.010 9	0.011 6
IPI	6.925 6	7.152 9	7.287 3	7.041 5	8.189 0
LCM	0.081 5	0.083 0	0.081 4	0.084 2	0.086 0
MPCM	0.068 3	0.068 2	0.066 7	0.068 9	0.068 8
LoG	0.019 2	0.020 7	0.020 6	0.020 0	0.020 9
Ours	0.006 4	0.006 4	0.005 9	0.005 6	0.006 5

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Cancan CHEN, Runqiu XIA, Yang LIU, Lishuang LIU, Qingshan CHEN. Hierarchical convolution filtering method for infrared dim small target detection[J]. Journal of Applied Optics, 2023, 44(4): 826

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