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MULTI-HYPOTHESIS CLASSIFICATION FOR COLOR CONSTANCY

机译:颜色恒定的多假设分类

摘要

A device for estimating a scene illumination color for a source image, the device being configured to: determine a set of candidate illuminants and for each of the candidate illuminants, determine a respective correction of the source image; for each of the candidate illuminants, apply the respective correction to the source image to form a corresponding set of corrected images; for each corrected image from the set of corrected images, implement a trained data-driven model to estimate a respective probability of achromaticity of the respective corrected image; and based on the estimated probabilities of achromaticity for the set of corrected images, obtain a final estimate of the scene illumination color for the source image. This approach allows for the evaluation of multiple candidate illuminates to determine an estimate of the scene illumination color, which may result in improved image quality when correcting for scene illumination, enabling natural image appearance in a target image.
机译:一种用于估计用于源图像的场景照明颜色的装置,该设备被配置为:确定一组候选光源和每个候选光源,确定源图像的相应校正;对于每个候选光源,将相应的校正应用于源图像以形成相应的一组校正图像;对于来自校正图像集的每个校正图像,实现训练的数据驱动模型以估计各个校正的图像的抗衡性的相应概率;基于该组校正图像的估计的消化性概率,获得源图像的场景照明颜色的最终估计。该方法允许评估多个候选的候选物,以确定场景照明颜色的估计,这可能导致校正场景照明时的图像质量改善,从而实现目标图像中的自然图像外观。

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