Correction Method for Keystone Distortion and Smile Distortion Based on Subpixel Transformation
This paper proposes a sub-pixel transformation method to accurately correct Keystone and Smile distortions in astronomical spectra from instruments like FASOT and LAM-OST. Peak detection with quartic polynomial fitting restores the fiber output envelope, while valley detection reveals wavelength shifts from effects like the Doppler effect. Pixel deviations remain within 0.50, with most below 0.10, preserving spectral integrity. Applied to LAMOST spectra, the method reduces fiber interference, narrows projection bandwidth, and increases peak spacing. This approach ensures precise calibration without introducing distortion, improving spectral analysis accuracy, and imaging quality.
Authors
- Chuanqi Chen (ORCID: https://orcid.org/0009-0005-3957-1622)
- Zhongquan Qu (ORCID: https://orcid.org/0000-0002-1787-325X)
- Tao Geng (ORCID: https://orcid.org/0000-0002-0791-6615)
- Weimin Sun (ORCID: https://orcid.org/0000-0003-1754-1236)
- Haojie Yang (ORCID: https://orcid.org/0000-0002-8633-2713)
- Xudong Chen (ORCID: https://orcid.org/0000-0002-2773-2741)
- Pengfei Wang (ORCID: https://orcid.org/0000-0002-0906-4217)
- Zhi Xu (ORCID: https://orcid.org/0000-0001-7084-3511)
- Shuang Chen (ORCID: https://orcid.org/0000-0002-3220-3262)
- Yue Zhong (ORCID: https://orcid.org/0000-0001-5826-0110)
- Zhaoxv Gan
- Hu Dongsheng
- Gang Yue
- Anzhi Wang
- Yunxiang Yan (ORCID: https://orcid.org/0000-0002-1298-2190)
Institutions
- Harbin Engineering University (CN)
- Chinese Academy of Sciences (CN)
- Yunnan Observatories (CN)
- China Aerodynamics Research and Development Center (CN)
- State Key Laboratory of Aerodynamics
- Ministry of Industry and Information Technology (CN)
Publication Details
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1109/aisomt64170.2024.10992170
- Primary Topic
- Infrared Thermography in Medicine
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China