Colour correction is the process of converting camera dependent RGB values to a camera independent standard colour space such as CIE XYZ.
May 5, 2023 · Colour correction is the process of converting camera dependent RGB values to a camera independent standard colour space such as CIE XYZ.
An Exposure Invariant Neural Network for Colour Correction. / Kucuk, Abdullah; Finlayson, Graham D.; Mantiuk, Rafal; Ashraf, Maliha. 2022. ... AU - Finlayson, ...
Oct 7, 2023 · In the second part of this paper, we try to solve this problem: we seek to make neural network colour correction exposure invariant. We ...
Abstract. Colour correction is the problem of mapping the sensor responses measured by a camera to the display-encoded RGBs or to a standard colour space ...
Oct 5, 2023 · An Exposure Invariant Neural Network for Colour Correction ... Colour correction is the process of converting camera dependent RGB values to a ...
The root-polynomial approach has the advantage that it is also exposure invariant. In contrast, the Neural Network approach delivers poor colour correction when ...
Performance comparison of classical methods and neural networks for colour correction ... An Exposure Invariant Neural Network for Colour Correction · Kucuk, A ...
Oct 16, 2022 · The proposed method is based on the neural network model developed by Zhang et al. (2020). In the training stage, the input RGB image is first ...
May 28, 2024 · In this paper, we propose a novel method to enhance images with both over- and under-exposures by learning to estimate and correct such color ...
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