In this paper we propose the truncated edge-based color constancy. It is based on, and extends, the edge-based framework by introducing the use of truncated Gaussian filters. The truncation level can be controlled with the use of a dedicated parameter that is added to the other three parameters existing in the edge-based framework, namely the derivative order, the standard deviation of the Gaussian filter, and the Minkowski norm. Experimental results on two standard dataset for color constancy show that the truncated edge-based framework allows to achieve the same or higher illuminant estimation accuracy of the edge-based framework considerably reducing the number of operations.
Bianco, S., Buzzelli, M. (2022). Truncated Edge-based Color Constancy. In IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin (pp.1-5). IEEE Computer Society [10.1109/ICCE-Berlin56473.2022.9937133].
Truncated Edge-based Color Constancy
Bianco S.;Buzzelli M.
2022
Abstract
In this paper we propose the truncated edge-based color constancy. It is based on, and extends, the edge-based framework by introducing the use of truncated Gaussian filters. The truncation level can be controlled with the use of a dedicated parameter that is added to the other three parameters existing in the edge-based framework, namely the derivative order, the standard deviation of the Gaussian filter, and the Minkowski norm. Experimental results on two standard dataset for color constancy show that the truncated edge-based framework allows to achieve the same or higher illuminant estimation accuracy of the edge-based framework considerably reducing the number of operations.
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