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18 December 2023 A colour correction method for improperly exposed images
Lingjin Fu
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Proceedings Volume 12967, AOPC 2023: Computing Imaging Technology; 1296703 (2023) https://doi.org/10.1117/12.2692790
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China
Abstract
Digital images are widely used in daily life and scientific researches, however, due to some uncertain reasons in imaging capture devices the improperly exposure may occur during the operation which can significantly reduce image quality and could terribly destroy the visual sensations or following processing. In order to correct such improperly exposed images, GretagMacbeth Colour Checker DC was used in this study, and via multi-exposure technology we measured the colour features of the multi-level dynamic range of the camera, and then a polynomial model was adopted to set up a 3D colour mapping relationship corresponding to a reference image which can be used as a basis for an image colour correction algorithm. To evaluate the differences between corrected and reference images, the S-CIELAB image difference model was applied that took spatial characters of human visual system into account. Experiment results show that the proposed colour correction method could achieve 2.0~5.5 S-CIELAB units corresponding to reference images. For the purpose of proving the result is acceptable, A visual experiment was designed using the psychophysical method of constant stimuli, and its results showed that the discrimination threshold for visually distinguishing on image differences are around 4.4 S-CIELAB units. This means that the correction method of this study could successfully correct such improperly exposed images to visually nice ones under or around the visual discrimination level.
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Lingjin Fu "A colour correction method for improperly exposed images", Proc. SPIE 12967, AOPC 2023: Computing Imaging Technology, 1296703 (18 December 2023); https://doi.org/10.1117/12.2692790
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KEYWORDS
RGB color model
Cameras
Visualization
Color
Color difference
Digital cameras
Image enhancement
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