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
- Acta Optica Sinica
- Vol. 44, Issue 16, 1610001 (2024)
![Schematic of EBAPS imaging[20]](/richHtml/gxxb/2024/44/16/1610001/img_01.jpg)
Fig. 1. Schematic of EBAPS imaging[20]
Fig. 2. Ideal total noise PTC curve for CMOS/CCD
Fig. 3. Schematic of experimental setup
Fig. 4. Schematic of physical object and structural particularity 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. 6. Signal mean versus standard deviation for difference image
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. 8. Difference image of adjacent frames (enhanced image for valid show)
Fig. 9. Flow chart of AWT-PDN algorithm
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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Table 1. Sources of noise in EBAPS images
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Table 2. Evaluation indices of image processed by different methods
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