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Analysis and Prediction of Image Quality Degradation Caused by Diffraction of Infrared Optical System Turning Marks

Authors :
Haokun Ye
Jianping Zhang
Shangnan Zhao
Mingxin Liu
Xin Zhang
Source :
Photonics, Vol 10, Iss 8, p 937 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

This paper addresses the issue of reduced image quality due to annular turning marks formed by single-point diamond turning (SPDT) during the processing of metal-based mirrors and infrared lenses. An ideal single-point diamond turning marks diffraction action model to quantitatively analyze the impact of turning marks diffraction on imaging quality degradation is proposed. Based on this model, a fast estimation algorithm for the optical modulation transfer function of the system under turning marks diffraction (TMTF) is proposed. The results show that the TMTF algorithm achieves high computational accuracy, with a relative error of only 3% in diffraction efficiency, while being hundreds of times faster than rigorous coupled wave analysis (RCWA). This method is significant for reducing manufacturing costs and improving production efficiency, as it avoids the problem of being unable to compute large-size optical systems due to computational resource and time constraints.

Details

Language :
English
ISSN :
10080937 and 23046732
Volume :
10
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Photonics
Publication Type :
Academic Journal
Accession number :
edsdoj.9566042d32ca4a2daccd06abcaa4602f
Document Type :
article
Full Text :
https://doi.org/10.3390/photonics10080937