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利用有关光源估计过程的信息进行数字摄影的色彩空间变换。

Color space transformations for digital photography exploiting information about the illuminant estimation process.

作者信息

Bianco Simone, Bruna Arcangelo, Naccari Filippo, Schettini Raimondo

机构信息

DISCo-Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milano, Italy.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2012 Mar 1;29(3):374-84. doi: 10.1364/JOSAA.29.000374.

DOI:10.1364/JOSAA.29.000374
PMID:22472769
Abstract

The color reproduction accuracy is a key factor to the overall perceived image quality in digital photography. In this framework, both the illuminant estimation process and the color correction matrix concur in the formation of the overall perceived image quality. To the best of our knowledge, the two processes have always been studied separately, thus ignoring the interactions between them. We investigate here these interactions, showing how the color correction transform amplifies the illuminant estimation errors. We demonstrate that incorporating knowledge about the illuminant estimation behavior in the optimization of the color correction matrix makes it possible to alleviate the error amplification. Different strategies to improve color accuracy under both perfect and imperfect white point estimations are investigated, and the experimental results obtained with a digital camera simulator are reported.

摘要

色彩再现精度是数字摄影中整体感知图像质量的关键因素。在此框架下,光源估计过程和色彩校正矩阵共同影响整体感知图像质量的形成。据我们所知,这两个过程一直是分开研究的,因此忽略了它们之间的相互作用。我们在此研究这些相互作用,展示色彩校正变换如何放大光源估计误差。我们证明,在色彩校正矩阵的优化中纳入有关光源估计行为的知识可以减轻误差放大。研究了在完美和不完美白点估计下提高色彩精度的不同策略,并报告了使用数码相机模拟器获得的实验结果。

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