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Improving the calibration of image sensors based on IOFBs, using differential gray-code space encoding.

Pedro R Fernández¹, José Luis Lázaro Galilea, Alfredo Gardel Vicente

¹Electronics Department, University of Alcalá, Superior Polytechnic School, University Campus, Alcalá de Henares 28871, Madrid, Spain. pedro.fernandez@depeca.uah.es

Sensors (Basel, Switzerland)

|September 27, 2012

Summary

This study introduces a fast calibration method using Differential Gray-Code Space Encoding (DGSE) for Incoherent Optical Fiber Bundles (IOFBs). The technique significantly reduces processing time and improves image reconstruction quality compared to existing methods.

Keywords:

fiber imaging image sensor image transmission optical fiber sensors sensor calibration

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Area of Science:

Optics and Photonics
Image Processing
Metrology

Background:

Accurate spatial correspondence is crucial for image transmission devices using Incoherent Optical Fiber Bundles (IOFBs).
Existing calibration methods can be time-consuming and may limit image reconstruction quality.
Need for efficient and high-fidelity calibration techniques for IOFB systems.

Purpose of the Study:

To develop and present a rapid calibration method for determining spatial transfer functions in IOFBs.
To evaluate the performance of the proposed method against established techniques.
To enhance the quality of reconstructed images from IOFB devices.

Main Methods:

Implementation of Differential Gray-Code Space Encoding (DGSE) for input scanning.
Generation of differential patterns using Gray codes to map spatial correspondences.
Comparative analysis with point scanning, fringe scanning, and other space encoding techniques.

Main Results:

DGSE achieves a significant reduction in calibration processing time.
The proposed method yields superior quality in reconstructed images.
Demonstrated improvement over traditional scanning and space encoding methods.

Conclusions:

Differential Gray-Code Space Encoding offers an efficient and effective solution for IOFB calibration.
The technique enhances both speed and accuracy in spatial correspondence mapping.
This advancement is beneficial for improving image transmission quality in IOFB systems.