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Natural and Preferred White on Displayed Images Under Varying Ambient Illuminants

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 543))

Abstract

This study is aiming to investigate the adaptive white point of different images on a display in terms of preference and naturalness under a dark condition and five ambient lighting conditions with different correlated color temperature (CCT). Under each ambient lighting, the natural and preferred white points were assessed by eleven observers using a categorical judgment method. The data were analyzed by the weighted average method in term of CCT and the departure from the Planckian locus (Duv) for each ambient light. The results showed a general agreement between the preferred and natural white points, the adapted white also varied according to different images. The white point of the display was also dependent on the CCT of the ambient illuminant. The Duv value for the Preferred and natural white points are both slightly below the Blackbody locus (BBL).

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Compliance with Ethical Standards

Conflict of Interest: The authors stated that they had no conflict of interest with the experimental subjects.

Ethical Approval: All the procedures carried out in the research involving human participants were in line with the Academic Rules of Engineering Graduates of Zhejiang University and 1964 Helsinki declaration and its subsequent revisions or similar ethical standards.

Informed Consent: All individual participants included in the experiment were informed and agreed that the results of this study were used for academic research and publication of the paper.

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Correspondence to Ming Ronnier Luo .

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© 2019 Springer Nature Singapore Pte Ltd.

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Cao, M., Luo, M.R. (2019). Natural and Preferred White on Displayed Images Under Varying Ambient Illuminants. In: Zhao, P., Ouyang, Y., Xu, M., Yang, L., Ren, Y. (eds) Advances in Graphic Communication, Printing and Packaging. Lecture Notes in Electrical Engineering, vol 543. Springer, Singapore. https://doi.org/10.1007/978-981-13-3663-8_11

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  • DOI: https://doi.org/10.1007/978-981-13-3663-8_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3662-1

  • Online ISBN: 978-981-13-3663-8

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