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ToolsFinlayson, Graham D. and Zhu, Yuteng (2021) Designing color filters that make cameras more colorimetric. IEEE Transactions on Image Processing, 30. pp. 853-867. ISSN 1057-7149
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Abstract
When we place a colored filter in front of a camera the effective camera response functions are equal to the given camera spectral sensitivities multiplied by the filter spectral transmittance. In this article, we solve for the filter which returns the modified sensitivities as close to being a linear transformation from the color matching functions of the human visual system as possible. When this linearity condition - sometimes called the Luther condition- is approximately met, the 'camera+filter' system can be used for accurate color measurement. Then, we reformulate our filter design optimisation for making the sensor responses as close to the CIEXYZ tristimulus values as possible given the knowledge of real measured surfaces and illuminants spectra data. This data-driven method in turn is extended to incorporate constraints on the filter (smoothness and bounded transmission). Also, because how the optimisation is initialised is shown to impact on the performance of the solved-for filters, a multi-initialisation optimisation is developed. Experiments demonstrate that, by taking pictures through our optimised color filters, we can make cameras significantly more colorimetric.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | color filter,camera sensitivity functions,color measurement,software,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: | 07 Jan 2021 01:01 |
| Last Modified: | 22 Oct 2022 07:37 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/78083 |
| DOI: | 10.1109/TIP.2020.3038523 |
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