Distance-weighted modulation transfer function measurement method

Zheng Zhang; Huajun Feng; Zhihai Xu; Qi Li; Yueting Chen

doi:10.1117/12.2506947

7 November 2018 Distance-weighted modulation transfer function measurement method

Zheng Zhang, Huajun Feng, Zhihai Xu, Qi Li, Yueting Chen

Proceedings Volume 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications; 108320N (2018) https://doi.org/10.1117/12.2506947
Event: Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 2018, Changchun, China

Abstract

Modulation spread function (MTF) is the function of spatial frequency used to evaluate the spatial quality of an imaging system. In measuring the MTF of the digital images, the slanted edge method is widely used. The traditional method projects the pixel values to the direction perpendicular to the edge and construct the edge spread function (ESF) in a subpixel resolution by binning pixels. However, the pixels within in a subpixel bin is not always distributed uniformly, which introduces errors in measurement results. Meanwhile, the value of an image pixel may deviate from the exact value of the ESF on the position of the pixel center since it is the integral of a short segment of the continuous ESF. Besides, the sampling interval is compressed due to inclination, so that the scale in the frequency domain is changed. In this paper, a novel measurement method which samples the ESF via weighting by distance is proposed and the errors exist in the traditional method is compensated. The edge location estimation method is also improved. Simulation experiments on different edge angles and image noise levels are conducted. The results show that the proposed method has an excellent performance on measuring accuracy and robustness.

Citation Download Citation

Zheng Zhang, Huajun Feng, Zhihai Xu, Qi Li, and Yueting Chen "Distance-weighted modulation transfer function measurement method", Proc. SPIE 10832, Fifth Conference on Frontiers in Optical Imaging Technology and Applications, 108320N (7 November 2018); https://doi.org/10.1117/12.2506947

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