Acta Optica Sinica, Volume. 43, Issue 1, 0110001(2023)
Denoising Method of Retinal OCT Images Based on Modularized Denoising Autoencoder
Fig. 1. Schematic diagram of DAE principle
Fig. 2. Network structure of MDAE
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)