Lixuan Chen, Peng Rao, Hanlu Zhu, Yingying Sun, Liangjie Jia. Denoising Method for Improving Detection Accuracy of Point Source Method by MTF[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181001
- Laser & Optoelectronics Progress
- Vol. 57, Issue 18, 181001 (2020)
Fig. 1. Schematic of point source method
Fig. 2. Ideal two-dimensional Gaussian distribution. (a) Three-dimensional view; (b) sectional view
Fig. 3. Influence of partition parameter P on partition
Fig. 4. Influence of partition parameter P on MSE of MTF (a=0.8). (a) MSE of image with noise standard deviation of 30 under various denoising methods; (b) relationship between parameter P and MSE under different noise standard deviations
Fig. 5. Influence of partition parameter a on data smoothing
Fig. 6. Influence of smoothing parameter a on MSE of MTF (P=0.3). (a) MSE of image with noise standard deviation of 30 under various denoising methods; (b) relationship between parameter a and MSE under different noise standard deviations
Fig. 7. Sequence of out-of-focus images. (a) image 1; (b) image 2; (c) image 3; (d) image 4; (e) image 5; (f) image 6
Fig. 8. Three-dimensional images and two-dimensional profiles of different denoising methods (noise standard deviation is 20). (a) Original point source image; (b) add noise point source image; (c) mean filtering; (d) median filtering; (e) wavelet filtering; (f) proposed method
Fig. 9. MTF measured after different denoising methods
Fig. 10. MSE of MTF under different denoising methods
Fig. 11. PSNR of images under different denoising methods
Fig. 12. SSIM of images under different denoising methods
Fig. 13. Sequences of captured out-of-focus source images. (a) -2.5 mm; (b) -2.0 mm; (c) -1.5 mm; (d) -1.0 mm; (e) 0 mm; (f) 1.0 mm; (g) +1.5 mm; (h) +2.0 mm; (i) +2.5 mm
Fig. 14. MTF measured after different denoising methods (defocused amount: -2.5 mm)
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Table 1. Performance comparison between proposed denoising method and traditional filtering methods
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Table 2. Parameters of experimental devices
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Table 3. Comparison between proposed denoising method and traditional filtering methods
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