Design and Implementation of a High-Performance Infrared Image Equalization Algorithm for Enhanced Target Tracking

Liying Chen; Angyang Li; Junfa Zhao; Chuantong Cheng; Jian Mei; Rui Yin

doi:10.3788/LOP241309

Laser & Optoelectronics Progress, Volume. 62, Issue 2, 0215008(2025)

Design and Implementation of a High-Performance Infrared Image Equalization Algorithm for Enhanced Target Tracking

Liying Chen^1,2、*, Angyang Li^1,2, Junfa Zhao^1,2, Chuantong Cheng³, Jian Mei⁴, and Rui Yin⁵

Author Affiliations

¹School of Electronics and Information Engineering, Tiangong University, Tianjin 300387, China

²Tianjin Key Laboratory of Photoelectric Detection Technology and System, Tianjin 300387, China

³Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China

⁴National Integrated Circuit Innovation Center, Shanghai 201203, China

⁵School of Microelectronics, Fudan University, Shanghai 200433, China

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Figures & Tables(12)

Fig. 1. Infrared images of the aircraft. (a) Original image; (b) image partitioning; (c) bright area recognition result

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Fig. 2. Principal weight function settings

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Fig. 3. Schematic diagram of the pixel readout circuit

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Fig. 4. CV characteristic curve

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Fig. 5. Exposure parameter correction curve

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Fig. 6. Algorithm implementation process

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Fig. 7. FPGA circuit boards. (a) Visible light image; (b) infrared image

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Fig. 8. Subject recognition results for subjects placed at different positions in the image. (a) Top left; (b) centre; （c） top right；（d） bottom left；（e） bottom right

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Fig. 9. Exposure adjustment process. (a) Initial exposure status; (b) the result of the adjustment for the first frame; (c) the result of the adjustment for the second frame; (d) the result of the adjusted exposure

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Table 1. Regional continuity adjudication process

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Table 1. Regional continuity adjudication process

R_i，j	R_i，j₊₁	Operate
00	00	If bright/dark flag on， save B_i，j coordinate as bright/dark； else， no operation
	01	If dark flag on， mark the horizontal potential dark blocks， turn off dark flag； else， no operation
	10	If bright flag on， mark the horizontal potential bright blocks， turn off bright flag； else， no operation
01	00	Turn on bright flag， save B_i，j coordinate as bright
	01	No operation
	10	Mark B_i，j as potential bright block
10	00	Turn on dark flag， save B_i，j coordinate as dark
	01	Mark B_i，j as potential dark block
	10	No operation

Table 2. Adjustment results at different initial exposure times
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Table 2. Adjustment results at different initial exposure times
Parameter Experiment
1 2
Required frames 3.8 2.6
Error /% 4.81 5.49

Table 3. Comparison of performance of different exposure schemes

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Table 3. Comparison of performance of different exposure schemes

Parameter	This paper	Ref.［12］	Ref.［16］	Ref.［18］	Ref. ［22］
Sensor type	IRD	CIS	CIS	CIS	CIS
Iterative method	LUT	LUT	Formula calculation	LUT	Dynamic step
Required frames	3.2	5（least）	8.5	3.6	4（least）
Error /%	5.15		5.51	6.3	2.25

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Liying Chen, Angyang Li, Junfa Zhao, Chuantong Cheng, Jian Mei, Rui Yin. Design and Implementation of a High-Performance Infrared Image Equalization Algorithm for Enhanced Target Tracking[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0215008

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