Self-adaptive noise minimization for diffractive imaging via regularized regression

Chuangchuang Chen; Honggang Gu; Shiyuan Liui

doi:10.1117/12.3003704

18 December 2023 Self-adaptive noise minimization for diffractive imaging via regularized regression

Chuangchuang Chen, Honggang Gu, Shiyuan Liui

Proceedings Volume 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics; 129630B (2023) https://doi.org/10.1117/12.3003704
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

Diffractive imaging techniques, such as coherent diffraction imaging (CDI), ptychography, and Fourier ptychography, have gained popularity due to their ability to recover the amplitude and phase information of samples simultaneously from the diffracted pattern with super resolution and wide field of view. However, imaging noise can significantly degrade the reconstructions in diffractive imaging. Higher order diffractions, in particular, are sensitive to measurement noise due to their lower signal-to-noise ratios (SNR) compared to lower orders. Existing denoising methods cannot effectively separate signals from detector noise. To address this limitation, we propose a self-adaptive noise minimization approach using a regularized regression method. Our approach involves training a regularized linear regression model to evaluate the power of noise level in the recorded noisy diffraction patterns and the detector's dark noise. This results in a refined pattern with high SNR. We evaluate our approach on synthetic and experimental datasets and compare it with existing noise reduction methods. The results demonstrate that our method significantly outperforms other state-of-the-art methods in terms of both noise reduction and preservation of fine structural details. Moreover, our approach does not require any prior knowledge or assumptions about the noise statistics, making it a robust and versatile method for diffractive imaging applications.

Citation Download Citation

Chuangchuang Chen, Honggang Gu, and Shiyuan Liui "Self-adaptive noise minimization for diffractive imaging via regularized regression", Proc. SPIE 12963, AOPC 2023: Optical Sensing, Imaging, and Display Technology and Applications; and Biomedical Optics, 129630B (18 December 2023); https://doi.org/10.1117/12.3003704

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KEYWORDS

Signal to noise ratio

Diffraction

Background noise

Interference (communication)

Denoising

Analog to digital converters

Analog electronics

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