Optical Coherent Image Despeckling Algorithm Based on Grouping Principal Component Analysis

Jing Fang; Shuyun Teng; Sijie Niu; Dengwang Li

doi:10.3788/AOS201838.1017002

Acta Optica Sinica, Volume. 38, Issue 10, 1017002(2018)

Optical Coherent Image Despeckling Algorithm Based on Grouping Principal Component Analysis

Jing Fang^1、*, Shuyun Teng¹, Sijie Niu², and Dengwang Li^1、*

¹ Shandong Province Key Laboratory of Medical Physics and Image Processing Technology, Shandong Province Key Laboratory of Optics and Photonic Device, School of Physics and Electronics, Shandong Normal University, Jinan, Shandong 250358, China

² School of Information Science and Engineering, University of Jinan, Jinan, Shandong 250022, China

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Figures & Tables(8)

Fig. 1. Illustration of local pixel grouping

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Fig. 2. Experimental results of simulated image. (a) Original fingerprint image; (b) noisy image corrupted by two-look speckle; (c) image after filtering with WST; (d) image after filtering with MSAR; (e) image after filtering with NLM; (f) image after filtering with proposed algorithm

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Fig. 3. Three OCT images of human ocular fundus tissue (blue boxes are used to calculate SNR values, while the red boxes are used to obtain CNR values). (a) Image 1; (b) image 2; (c) image 3

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Fig. 4. Despeckling results of image 1. (a) Image after filtering with WST; (b) image after filtering with MSAR; (c) image after filtering with NLM; (d) image after filtering with proposed algorithm

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Fig. 5. Despeckling results of image 2. (a) Image after filtering with WST; (b) image after filtering with MSAR; (c) image after filtering with NLM; (d)image after filtering with proposed algorithm

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Fig. 6. Despeckling results of image 3. (a) Image after filtering with WST; (b) image after filtering with MSAR; (c) image after filtering with NLM; (d) image after filtering with proposed algorithm

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Table 1. PSNR and SSIM for simulated images after despeckling
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Table 1. PSNR and SSIM for simulated images after despeckling
Item Noisy WST MSAR NLM Proposed method
PSNR /dB 11.0205 16.6991 22.6663 25.9662 29.3757
SSIM 0.6878 0.8234 0.8789 0.9051 0.9376

Table 2. Average values of SNR, CNR and ENL for image1, image 2 and image 3
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Table 2. Average values of SNR, CNR and ENL for image1, image 2 and image 3
Parameter Noisy WST MSAR NLM Proposed method
SNR /dB 15.21 19.45 22.18 28.32 27.13
CNR 2.35 3.75 5.02 9.14 12.68
ENL 8.01 23.5 123.65 81.30 98.61

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Jing Fang, Shuyun Teng, Sijie Niu, Dengwang Li. Optical Coherent Image Despeckling Algorithm Based on Grouping Principal Component Analysis[J]. Acta Optica Sinica, 2018, 38(10): 1017002

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