Laser & Optoelectronics Progress, Volume. 61, Issue 8, 0811011(2024)
High-Dynamic-Range Ptychography Using Maximum Likelihood Noise Estimation
As crucial constraints of ptychography, the richness and accuracy of diffraction patterns directly affect the quality of reconstruction images. This paper proposes a high-dynamic-range ptychography using maximum likelihood noise estimation (ML-HDR). Herein, assuming the linear response of the detector, a compound Gaussian noise model is established; the weight function is optimized according to the ML estimation; and a high signal-to-noise ratio diffraction pattern is further synthesized from multiple low dynamic range diffraction patterns. The reconstruction quality of single exposure, conventional HDR, and ML-HDR is compared. The simulation and experiment results show that ML-HDR can widen the dynamic range by 8 bits and enhance the reconstruction resolution by 2.83 times compared with the single exposure. Moreover, compared with conventional HDR, ML-HDR can enhance the contrast and uniformity of the reconstruction image in the absence of additional hardware parameters.
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Wenjie Li, Honggang Gu, Li Liu, Lei Zhong, Yu Zhou, Shiyuan Liu. High-Dynamic-Range Ptychography Using Maximum Likelihood Noise Estimation[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0811011
Category: Imaging Systems
Received: Mar. 15, 2023
Accepted: Apr. 28, 2023
Published Online: Apr. 16, 2024
The Author Email: Gu Honggang (hongganggu@hust.edu.cn), Liu Shiyuan (shyliu@hust.edu.cn)