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Abstract #2914

Deep prior for suppressing noise amplification and edge preservation in Phase-based EPT with Low-SNR image

Chuanjiang Cui1, Jun-Hyeong Kim1, Kyu-Jin Jung1, Jaeuk Yi1, and Dong-Hyun Kim1
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea, Republic of


Phase-based EPT algorithm is extremely sensitive to noise. Although many studies have investigated such as linear(Gaussian filter) or non-linear filter(TV norm) to cope with amplification, textured noise and staircasing effect still remain in phase image, which lead to conductivity error such as broadening boundary artifact or high std value in reconstructed conductivity maps. In this study, we propose a deep prior based denoising method, which achieve to not only suppress instability brought by noise amplification but reduce boundary error.

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