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Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

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Optimal PSF Estimation for Simple Optical System Using a Wide-Band Sensor Based on PSF Measurement.

Yunda Zheng^1,2, Wei Huang³, Yun Pan⁴

¹State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China. yundazheng@foxmail.com.

Sensors (Basel, Switzerland)

|October 24, 2018

Summary

This study introduces an optimal point spread function (PSF) estimation method using narrow-band measurements. This approach enhances image quality by reducing artifacts from inaccurate PSF usage in optical deconvolution.

Keywords:

deconvolution image restoration imaging sensors point spread function simple optical system

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Area of Science:

Optical Engineering
Image Processing
Computational Imaging

Background:

Simple optical system imaging utilizes image deconvolution to correct aberrations.
Accurate point spread functions (PSFs) are crucial for deconvolution quality, but obtaining optimal PSFs is challenging.
Existing methods like blind PSF estimation are image-dependent, and measured PSFs are often misused due to sensor wide-band characteristics.

Purpose of the Study:

To develop an optimal PSF estimation method for simple optical imaging systems.
To improve image quality by mitigating artifacts caused by incorrect PSF application.
To leverage narrow-band PSF measurements for accurate optical system calibration and simulation.

Main Methods:

Calibrating the optical system using narrow-band PSF measurements at a single depth.
Simulating realistic PSFs across the wavelength pass range for each color channel and field of view.
Computing optimal PSFs based on these simulated wavelength-dependent and field-dependent PSFs.

Main Results:

The proposed method effectively simulates PSFs across different color channels and field positions.
Optimal PSFs derived from simulations significantly reduce image artifacts.
The enhanced image quality demonstrates the efficacy of the optimal PSF estimation technique.

Conclusions:

The presented optimal PSF estimation method, based on narrow-band measurements and simulations, provides superior results compared to traditional approaches.
This technique offers a robust solution for improving image quality in simple optical imaging systems.
Accurate PSF estimation is vital for effective aberration correction and artifact reduction in deconvolution processes.