Infrared and Laser Engineering, Volume. 52, Issue 9, 20220824(2023)
Denoising algorithm for space target event streams based on event camera
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Fig. 1. (a) 3D visualization of the space event streams; (b) Space target event; (c) Hot pixel noise; (d) BA noise
Fig. 2. Schematic diagram of spatiotemporal correlation filter principle
Fig. 4. Denoise processing diagram. (a) Scene1; (b) Scene2; (c) Scene3
Fig. 5. Denoise processing for Scene4. (a) Single target; (b) Double target
Fig. 6. Evaluation index of filtering algorithm on public datasets. (a) SR; (b) NR; (c) SNR; (d) Event processing time
Table 1. Scenes of public datasets
View tableView in ArticleTable 1. Scenes of public datasets
Scene Target quantity Target name Mag 1 1 Sirius −1.44 2 1 Hip50456 5.52 3 1 Tycho 6612 10.19 4 2 SL-8 R/B and random target -
Table 2. Scenes of simulation datasets
View tableView in ArticleTable 2. Scenes of simulation datasets
Scene Target quantity Target name Target events Noise events 5 1 Satellite 1 150 100000 6 2 Satellite 1, 2 237 100000
Table 3. Evaluation index of filter algorithms on simulation datasets
View tableView in ArticleTable 3. Evaluation index of filter algorithms on simulation datasets
Scene Algorithm SR NR SNR/dB Event processing time/μs·event−1 Scene5 Classical filter 0.9467 0.94298 −28.2221 16.1795 NDSEF filter 0.9467 0.38542 −24.3365 11.9075 Cascade filter 0.8400 0.0028 −3.4523 12.4852 Scene6 Classical filter 1.0000 0.9445 −26.0046 10.1843 NDSEF filter 0.9789 0.3925 −22.2829 7.5926 Cascade filter 0.9156 0.0727 −15.2484 11.3501
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Xiaoli Zhou, Chao Bei, Nan Zhang, Xing Xin, Zuoming Sun. Denoising algorithm for space target event streams based on event camera[J]. Infrared and Laser Engineering, 2023, 52(9): 20220824
Paper Information
Category: Image processing
Received: Nov. 12, 2022
Accepted: --
Published Online: Oct. 23, 2023
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