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Published on: October 2, 2021
Two models for partially coherent imaging
1Canon Inc., 23-10, Kiyohara-Kogyo-danchi, Utsunomiya, Tochigi 321-3298, Japan. kyamazoe@cusa.canon.com
This study differentiates two partially coherent imaging methods: transmission cross coefficient (TCC) and object spectrum shifting. While yielding identical images, TCC uses an artificial model, making them non-interchangeable for calculations beyond image formation.
Area of Science:
- Optics and Photonics
- Image Formation Theory
Background:
- Partially coherent imaging systems are crucial in various scientific fields.
- Two distinct models, Transmission Cross Coefficient (TCC) and object spectrum shifting, are used for image formation.
- Understanding the physical underpinnings of these models is essential for accurate analysis.
Purpose of the Study:
- To elucidate the fundamental physical differences between the TCC and object spectrum shifting approaches in partially coherent imaging.
- To demonstrate that despite producing identical images, the underlying physical models are distinct.
- To highlight the limitations of the TCC approach regarding its applicability beyond image calculation.
Main Methods:
- Comparative analysis of two image formation models for partially coherent imaging.
- Utilizing eigenfunction analysis to scrutinize the physical basis of each approach.
- Examining the interchangeability of the models in specific imaging system calculations.
Main Results:
- The TCC approach employs an artificial optical model solely for image calculation.
- The object spectrum shifting approach is based on a different physical model.
- The two approaches are not interchangeable for calculations beyond direct image formation, such as entropy calculation.
Conclusions:
- The physical models underlying the TCC and object spectrum shifting methods are fundamentally different.
- The TCC approach's reliance on an artificial model restricts its application.
- Accurate physical interpretation requires distinguishing between these two image formation strategies.
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