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

Finlayson, Graham and Zhu, Yuteng (2020) An improved optimization method for finding a color filter to make a camera more colorimetric. In: Electronic Imaging 2020, 2020-01-26 - 2020-01-30, Burlingame.

[thumbnail of EI2020_submitted_version]
PDF (EI2020_submitted_version) - Draft Version
Download (241kB) | Preview
[thumbnail of Accepted_Manuscript]
PDF (Accepted_Manuscript) - Accepted Version
Download (241kB) | Preview


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).

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: filter design,optimisation,colorimetric,sampling method,software,atomic and molecular physics, and optics,human-computer interaction,electrical and electronic engineering,computer science applications,computer graphics and computer-aided design ,/dk/atira/pure/subjectarea/asjc/1700/1712
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 15 Jan 2020 07:16
Last Modified: 22 Oct 2022 08:30
DOI: 10.2352/ISSN.2470-1173.2020.15.COLOR-163

Actions (login required)

View Item View Item