An improved optimization method for finding a color filter to make a camera more colorimetric

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Abstract

Recently, an iterative optimization method was proposed that determines the spectral transmittance of a color filter which, when placed in front of a camera, makes the camera more colorimetric [1]. However, the performance of this method depends strongly on the filter (guess) that initializes the optimization. In this paper, we develop a simple extension to the optimization where we systematically sample the set of possible initial filters and for each initialization solve for the best refinement. Experiments demonstrate that improving the initialization step can result in the effective ‘camera+filter’ imaging system being much more colorimetric. Moreover, the filters we design are smoother than previously reported (which makes them easier to manufacture).
Original languageEnglish
Pages163-1-163-6
Number of pages6
DOIs
Publication statusPublished - 30 Oct 2020
EventElectronic Imaging 2020 - Burlingame, California, United States
Duration: 26 Jan 202030 Jan 2020
https://www.imaging.org/site/IST/Conferences/EI/EI2020/IST/Conferences/EI/Symposium_Overview.aspx?hkey=c462d1b7-6d23-420c-ba06-e89cfa07e24f

Conference

ConferenceElectronic Imaging 2020
Abbreviated titleEI2020
CountryUnited States
CityCalifornia
Period26/01/2030/01/20
Internet address

Keywords

  • filter design
  • optimisation
  • colorimetric
  • sampling method

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