Paper
15 February 2022 A composite processing method for eliminating the co-frequency noise in MTF test
Author Affiliations +
Proceedings Volume 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021); 121664K (2022) https://doi.org/10.1117/12.2617327
Event: Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 2021, Hong Kong, Hong Kong
Abstract
The MTF test always suffered from the noises. Unfortunately, it was very difficult to eliminate the co-frequency noise, when the noise located in the sampling frequency region. Based on the previous research on the multi column realignment averaging method, a novel composite processing method was proposed to remove the noises, without losing valid information. By establishing an accurate mathematical model and benchmark, and comparing with each other under the different conditions, the composite processing method can hold the valid information and suppress noise well. The error of this method was less than 0.04, when the signal-to-noise ratio of the slanted slit image was only 10 dB. It was believed that this method would be further improved in the accuracy and robustness.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Facai Zhao, Jing Shao, Xingang Zhuang, Quanshe Sun, Hongbo Liu, Rongren Shen, Hongchao Wang, and Guochao Li "A composite processing method for eliminating the co-frequency noise in MTF test", Proc. SPIE 12166, Seventh Asia Pacific Conference on Optics Manufacture and 2021 International Forum of Young Scientists on Advanced Optical Manufacturing (APCOM and YSAOM 2021), 121664K (15 February 2022); https://doi.org/10.1117/12.2617327
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KEYWORDS
Modulation transfer functions

Composites

Signal to noise ratio

Optical filters

Point spread functions

Digital filtering

Error analysis

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