Paper
16 January 2019 Modified phase diversity technique to eliminate Poisson noise for reconstructing high-resolution images
Ling Zhang, Hui Zhao, Hongwei Yi, Xuewu Fan, Xiaopeng Xie
Author Affiliations +
Proceedings Volume 10838, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 108380R (2019) https://doi.org/10.1117/12.2505019
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China
Abstract
Phase diversity technique (PD) is a widely known method to estimate wave-front aberration of optical imaging system and to obtain reconstructed high-resolution image after degradation. However, when detecting weak or low light object in space, Poisson noise, as the main source of noise, has a serious impact on the accuracy of the PD’s two main function. Hence, we firstly propose a modified PD combined with Non-local Means (NLM) algorithm to reduce the sensitivity of PD towards the Poisson noise. The numerical simulations demonstrate that our approach compared with the traditional PD has a significant improvement in terms of both the wave-front residual root-mean-square error (RMS) and the structural similarity index metrics (SSIM). The wave-front residual RMS decreases by approximately 51% across the Poisson noise levels ranging from 24.48 dB to 61.02 dB. The overall decline range of SSIM significantly decreases from 47% to 17%, and the average of SSIM increases from 84% to 91%. The modified PD would be useful in the AO system with active Poisson noise.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ling Zhang, Hui Zhao, Hongwei Yi, Xuewu Fan, and Xiaopeng Xie "Modified phase diversity technique to eliminate Poisson noise for reconstructing high-resolution images", Proc. SPIE 10838, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 108380R (16 January 2019); https://doi.org/10.1117/12.2505019
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KEYWORDS
Optical transfer functions

Detection and tracking algorithms

Imaging systems

Optimization (mathematics)

Adaptive optics

Cameras

Image processing

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