Acta Optica Sinica, Volume. 44, Issue 16, 1610001(2024)
Adaptive Wavelet Threshold Denoising Based on Pixel Dark Noise of EBAPS
Fig. 5. Different regions of EBAPS image (solid green line box indicates the dark pixel area, and solid red line box indicates the effective signal area)
Fig. 7. Histogram distribution of image with different mean values. (a) Mean value is 93; (b) mean value is 166; (c) mean value is 466; (d) mean value is 749; (e) mean value is 2223; (f) mean value is 3283
Fig. 10. Comparison of single frame images and mean values of 50 images under different illuminances. (a) Single frame images; (b) 50 images
Fig. 11. Experiment results of denoising methods for scene 1 under different illuminances. (a) 1×10-1 lx; (b) 5×10-2 lx; (c) 1×10-2 lx; (d) 5×10-3 lx
Fig. 12. Experiment results of denoising methods for scene 2 under different illuminances. (a)
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Xuan Liu, Bingzhen Li, Li Li, Weiqi Jin, Hongchang Cheng. Adaptive Wavelet Threshold Denoising Based on Pixel Dark Noise of EBAPS[J]. Acta Optica Sinica, 2024, 44(16): 1610001
Category: Image Processing
Received: Mar. 6, 2024
Accepted: Apr. 29, 2024
Published Online: Aug. 5, 2024
The Author Email: Li Li (lili@bit.edu.cn)