Camera spectral sensitivity estimation based on spectrally tunable LED illumination

Long Ma; Bowen Xu

doi:10.1117/12.2687937

11 August 2023 Camera spectral sensitivity estimation based on spectrally tunable LED illumination

Long Ma, Bowen Xu

Proceedings Volume 12785, Intelligent Photonics (Meta) Technology Symposium (IPTS2023); 1278504 (2023) https://doi.org/10.1117/12.2687937
Event: 2023 Intelligent Photonics (Meta) Technology Symposium (IPTS2023), 2023, Wuhan, China

Abstract

The choice of light source affects the accuracy of the spectral sensitivity estimation. In this paper, we propose to estimate the spectral sensitivity function of digital camera using spectrally tunable LED light sources. The spectral power distribution of the LED light source is determined by a combination of multiple LEDs and their weight coefficients. The method of tuning the weight coefficients of the LEDs includes Monte Carlo method and particle swarm optimization algorithm, so that the LED light source with the smallest estimation error is defined as the optimal light source. Experimental results show that the particle swarm algorithm gives the best estimation results. The relative error of estimation using LED light sources is significantly reduced when compared with the results when using a single light source for estimation (e.g., D65 light source).

Citation Download Citation

Long Ma and Bowen Xu "Camera spectral sensitivity estimation based on spectrally tunable LED illumination", Proc. SPIE 12785, Intelligent Photonics (Meta) Technology Symposium (IPTS2023), 1278504 (11 August 2023); https://doi.org/10.1117/12.2687937

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