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Infrared light field imaging system free of fixed-pattern noise
Pablo A Coelho1,2, Jorge E Tapia3,4, Francisco Pérez5
1Departamento de Ingeniería Eléctrica, Universidad de Concepción, Casilla, 160-C, Concepción, Chile. pcoelho@udec.cl.
Scientific Reports
|October 14, 2017
Summary
Fixed-pattern noise (FPN) in digital photonic sensors can be reduced by treating it as an object at infinity. This novel approach uses light field capture and digital refocusing for improved image quality in low-energy photon imaging.
Area of Science:
- Optoelectronics and Imaging Science
- Photonics and Sensor Technology
Background:
- Digital photonic sensors aim for high sensitivity and resolution.
- Low-energy photon detection faces noise challenges, degrading signal-to-noise ratio below 1.
- Fixed-pattern noise (FPN) from optoelectronic non-uniformity is a significant issue in infrared and hyperspectral imaging.
Purpose of the Study:
- To present a new experimental interpretation of FPN in digital imaging systems.
- To propose and validate a novel method for FPN reduction using light field imaging.
- To demonstrate an alternative to traditional FPN reduction techniques without requiring sensor-specific parameters.
Main Methods:
- Capturing the light field of a scene with a digital photonic sensor.
- Applying digital refocusing techniques to the captured light field data.
- Quantifying FPN reduction effectiveness using the Structural Similarity (SSIM) index and comparing it to a blackbody-based method.
Main Results:
- Experimental evidence shows FPN behaves as an object at an infinite depth when using light field capture.
- The proposed digital refocusing method effectively reduces FPN without needing transducer parameters or external calibration sources.
- The SSIM index confirmed the efficacy of the digital refocusing approach for FPN reduction.
Conclusions:
- Fixed-pattern noise can be reinterpreted as an optical phenomenon within a light field imaging system.
- Digital refocusing offers a new, parameter-free method for denoising images affected by FPN.
- This research opens possibilities for advanced low-energy photon cameras with inherent FPN reduction capabilities.
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