Acta Optica Sinica, Volume. 43, Issue 1, 0110001(2023)
Denoising Method of Retinal OCT Images Based on Modularized Denoising Autoencoder
Fig. 3. Denoised images by using different modules. (a) Original image; (b) T=1; (c) T=2; (d) T=3; (e) T=4
Fig. 4. Evaluation metrics varying with number of modules. (a) MSE; (b) PSNR; (c) SSIM
Fig. 5. Denoised results of retinal OCT image of normal eye obtained by different methods. (a) Original image; (b) Gaussian filter; (c) mean filter; (d) BM3D; (e) SDAE; (f) MDAE
Fig. 6. Denoised results of retinal OCT image of diseased eye obtained by different methods. (a) Original image; (b) Gaussian filter;(c) mean filter; (d) BM3D; (e) SDAE; (f) MDAE
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Hao Dai, Yaliang Yang, Xian Yue, Shen Chen. Denoising Method of Retinal OCT Images Based on Modularized Denoising Autoencoder[J]. Acta Optica Sinica, 2023, 43(1): 0110001
Category: Image Processing
Received: Mar. 17, 2022
Accepted: Jun. 20, 2022
Published Online: Jan. 6, 2023
The Author Email: Yang Yaliang (ylyang@ioe.ac.cn)