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High Dynamic Range Spectral Imaging Pipeline For Multispectral Filter Array Cameras.

Pierre-Jean Lapray1, Jean-Baptiste Thomas2,3, Pierre Gouton4

  • 1MIPS Laboratory, Université de Haute Alsace, 68093 Mulhouse, France. pierre-jean.lapray@uha.fr.

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|June 8, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a new high dynamic range (HDR) spectral imaging pipeline, adapted from color filter arrays. The developed system effectively reduces noise, improving spectral imaging quality for practical vision applications.

Keywords:
high dynamic rangeimage databasespectral filter arraysspectral imaging

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Area of Science:

  • Optics and Photonics
  • Image Processing
  • Computer Vision

Background:

  • Spectral filter arrays share similarities with established color filter arrays, enabling easier integration into existing vision systems.
  • Current spectral imaging techniques may face challenges with noise, particularly due to energy imbalance issues.

Purpose of the Study:

  • To define and implement a novel imaging pipeline for high dynamic range (HDR)-spectral imaging.
  • To adapt existing color filter array technology for advanced spectral imaging applications.
  • To evaluate the performance and noise reduction capabilities of the proposed pipeline.

Main Methods:

  • Development of an imaging pipeline extending color filter array principles for HDR-spectral imaging.
  • Implementation of the pipeline on a prototype sensor.
  • Evaluation using objective metrics and visual analysis on real-world data.

Main Results:

  • Successful implementation of an HDR-spectral imaging pipeline.
  • Demonstrated reduction in image noise, specifically addressing energy balance issues.
  • Validation of results through objective metrics and visual examples.

Conclusions:

  • The proposed HDR-spectral imaging pipeline offers a practical solution with reduced noise.
  • The technology is readily adaptable for integration into existing vision systems.
  • The provided dataset facilitates further research in spectral imaging.