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
- Acta Optica Sinica
- Vol. 38, Issue 10, 1017002 (2018)
Fig. 1. Illustration of local pixel grouping
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
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
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
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
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 2. Average values of SNR, CNR and ENL for image1, image 2 and image 3
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