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

An improved optimization method for finding a color filter to make a camera more colorimetric. Finlayson, G. & Zhu, Y. In Electronic Imaging 2020, pages 163–1-163-6, USA, October, 2020.

Paper doi abstract bibtex

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).

@inproceedings{uea73655,
         address = {USA},
           month = {October},
          author = {Graham Finlayson and Yuteng Zhu},
           title = {An improved optimization method for finding a color filter to make a camera more colorimetric},
         journal = {Electronic Imaging 2020},
            year = {2020},
       booktitle = {Electronic Imaging 2020},
             doi = {10.2352/ISSN.2470-1173.2020.15.COLOR-163},
           pages = {163--1-163-6},
        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).},
             url = {https://ueaeprints.uea.ac.uk/id/eprint/73655/},
        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}
}

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