Fast measurement system for fiber-optic imaging element modulation transfer function based on improved edge method

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Authors: Zeping Sun, Peng Jiao, Yonggang Huang, Miao Chu, Yuwen Xing, Miao Dong, Yajie Du, Yun Wang, Jinsheng Jia
Cited by: 0

Abstract

To meet stringent imaging quality requirements for fiber-optic imaging element in low-light night vision and particle detection applications, this study proposes a rapid modulation transfer function (MTF) measurement method. Innovating upon the conventional slanted-edge method, this approach achieves sub-pixel edge localization through Gaussian smoothing and adaptive gradient thresholding, while significantly enhancing edge detection accuracy via multi-stage Sobel gradient filtering. The edge spread function (ESF) is precisely modeled using bicubic interpolation, with subsequent plateau-region normalization and iterative optimization generating the MTF curve. Experimental results demonstrate effective suppression of fixed-pattern noise in low-light imaging, showing significant MTF50 enhancement and the absolute error between the measured MTF and the laboratory contrast benchmark is within a very small range. This technique provides a high-precision, efficient solution for performance quantification of fiber-optic imaging element such as image intensifier windows, delivering critical engineering value for ensuring reliability in high-speed imaging assemblies.

Fields of Study & Subjects

CCD and CMOS Imaging Sensors Advanced Measurement and Detection Methods Image and Video Quality Assessment

Publication details

Journal / source
International Academic Conference on Optics and Photonics (IACOP)
Pages
21–21
Publication date
9 February 2026
Language
EN