Fast Denoising Algorithm for EBAPS Images Based on Harris Corner Detection

Zixiang Zhao; Bingzhen Li; Tao Lian; Xuan Liu; Li Li; Lei Yan

doi:10.3788/AOS250764

Acta Optica Sinica, Volume. 45, Issue 15, 1510006(2025)

Fast Denoising Algorithm for EBAPS Images Based on Harris Corner Detection

Zixiang Zhao¹, Bingzhen Li¹, Tao Lian¹, Xuan Liu¹, Li Li^1、*, and Lei Yan²

¹Key Laboratory of Optoelectronic Imaging Technology and System, Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

²Science and Technology on Low-Light-Level Night Vision Laboratory, Xi’an 710065, Shaanxi ,China

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Figures & Tables(16)

Fig. 1. Principle of EBAPS imaging

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Fig. 2. Diagram of EBS noise form

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Fig. 3. Comparison of images before and after adding gray-level constraint. (a) Original image; (b) Harris corner detection result; (c) Harris corner detection result with Otsu gray-level threshold

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Fig. 4. EBS noise detection results. (a) Original image; (b) result of Ref. [8]; (c) result of Ref. [10]; (d) result of Harris-Otsu combined with noise detection algorithm

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Fig. 5. Flowchart of adaptive switching median filtering algorithm

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Fig. 6. Images for simulation. (a) Original images; (b) illumination 1; (c) illumination 2; (d) illumination 3

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Fig. 7. Denoising results under illumination 1

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Fig. 8. Denoising results under illumination 2

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Fig. 9. Denoising results under illumination 3

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Fig. 10. EBAPS images used for experiment. (a) Noisy image; (b) clean image

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Fig. 11. Denoising results under illumination of 5×10^-4 lx

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Table 1. Test results for Barbara (PSNR and SSIM)

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Table 1. Test results for Barbara (PSNR and SSIM)

Method	Illumination 1		Illumination 2		Illumination 3
Method	PSNR /dB	SSIM	PSNR /dB	SSIM	PSNR /dB	SSIM
Noisy image	27.3863	0.6030	27.3817	0.5391	27.5692	0.4602
Median filtering	28.1165	0.7102	30.2885	0.7211	32.5451	0.7486
Bilateral filtering	30.4418	0.8219	31.8830	0.8177	33.9706	0.8453
Ref. [7]	28.1430	0.7118	30.3206	0.7228	32.5649	0.7502
Ref. [9]	28.6712	0.7514	31.1666	0.7721	33.5540	0.8027
Proposed	30.2923	0.8234	32.8479	0.8333	36.5373	0.8728

Table 2. Test results for Boats (PSNR and SSIM)

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Table 2. Test results for Boats (PSNR and SSIM)

Method	Illumination 1		Illumination 2		Illumination 3
Method	PSNR /dB	SSIM	PSNR /dB	SSIM	PSNR /dB	SSIM
Noisy image	27.3333	0.5788	27.4425	0.5156	27.5404	0.4422
Median filtering	31.1399	0.7824	32.4235	0.7896	33.3450	0.7897
Bilateral filtering	32.2717	0.8463	33.5242	0.8597	34.7971	0.8763
Ref. [7]	31.1744	0.7835	32.4518	0.7905	33.3788	0.7909
Ref. [9]	31.8206	0.8242	33.2889	0.8320	34.2925	0.8332
Proposed	31.4511	0.8474	34.5242	0.8741	37.7968	0.9033

Table 3. Test results for Peppers (PSNR and SSIM)

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Table 3. Test results for Peppers (PSNR and SSIM)

Method	Illumination 1		Illumination 2		Illumination 3
Method	PSNR /dB	SSIM	PSNR /dB	SSIM	PSNR /dB	SSIM
Noisy image	27.4116	0.5178	27.3901	0.4700	27.5715	0.4244
Median filtering	32.5330	0.7954	32.9961	0.7970	33.5691	0.7912
Bilateral filtering	33.9410	0.8752	34.3870	0.8822	35.0999	0.8857
Ref. [7]	32.5901	0.7971	33.0453	0.7988	33.6024	0.7930
Ref. [9]	33.4455	0.8397	33.9284	0.8404	34.5169	0.8347
Proposed	34.6233	0.8899	36.8604	0.9065	38.7648	0.9173

Table 4. Processing time for single simulation image

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Table 4. Processing time for single simulation image

Method	Illumination 1			Illumination 2			Illumination 3
Method	Barbara	Boats	Peppers	Barbara	Boats	Peppers	Barbara	Boats	Peppers
Median filtering	0.0094	0.0098	0.0099	0.0100	0.0100	0.0101	0.0096	0.0098	0.0100
Bilateral filtering	0.1708	0.1681	0.1622	0.1651	0.1611	0.1604	0.1584	0.1633	0.1614
Ref. [7]	1.0471	1.0572	1.1295	1.0263	1.1087	1.0596	1.0760	1.1160	1.1164
Ref. [9]	2.0168	1.9899	2.0270	1.9744	1.9915	1.9316	2.0953	2.0013	2.0432
Proposed	0.3144	0.3240	0.3073	0.3073	0.2909	0.3036	0.2999	0.3198	0.3155

Table 5. Test results for real EBAPS images

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Table 5. Test results for real EBAPS images

Method	PSNR /dB	SSIM	Time /s
Noisy image	31.1001	0.6246	—
Median filtering	36.3536	0.8690	0.0418
Bilateral filtering	40.7438	0.9500	0.6597
Ref. ［4］	44.5513	0.9755	2.7350
Ref. ［7］	36.3560	0.8690	5.3697
Ref. ［9］	37.4143	0.8897	10.1938
Proposed	41.8214	0.9558	1.1757

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Zixiang Zhao, Bingzhen Li, Tao Lian, Xuan Liu, Li Li, Lei Yan. Fast Denoising Algorithm for EBAPS Images Based on Harris Corner Detection[J]. Acta Optica Sinica, 2025, 45(15): 1510006

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Paper Information

Category: Image Processing

Received: Mar. 18, 2025

Accepted: May. 12, 2025

Published Online: Aug. 13, 2025

The Author Email: Li Li (lili@bit.edu.cn)

DOI:10.3788/AOS250764

CSTR:32393.14.AOS250764

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology