A Color Management Model for Color Sensors of Liquid Crystal Display

Li, Xin Wu

doi:10.4028/www.scientific.net/kem.428-429.394

Cited by 1 publication

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“…Further application examples of color sensors extend to diverse areas, such as medical diagnosis [56][57][58],health monitoring [59,60], biochemical sensing [61,62], plant recognition in agriculture [63], the color management of consumer electronics [64][65][66], and many more. In all these cases, knowing about the sensor characteristics in response to light exposure is crucial for proper system behavior, emphasizing the practical importance of the present work.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the present work, implying future developments towards standardization, is of high practical relevance not only for the field of lighting, but also for a wide range of applications that are related to industrial processing [ 51 ], where color sensors are either used for actual sensing and color discrimination purposes or as an integral component for system control [ 52 , 53 , 54 , 55 ]. Further application examples of color sensors extend to diverse areas, such as medical diagnosis [ 56 , 57 , 58 ], health monitoring [ 59 , 60 ], biochemical sensing [ 61 , 62 ], plant recognition in agriculture [ 63 ], the color management of consumer electronics [ 64 , 65 , 66 ], and many more. In all these cases, knowing about the sensor characteristics in response to light exposure is crucial for proper system behavior, emphasizing the practical importance of the present work.…”

Section: Discussionmentioning

confidence: 99%

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Tackling Heterogeneous Color Registration: Binning Color Sensors

Myland

Babilon

Khanh

2021

Sensors

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Intelligent systems for interior lighting strive to balance economical, ecological, and health-related needs. For this purpose, they rely on sensors to assess and respond to the current room conditions. With an augmented demand for more dedicated control, the number of sensors used in parallel increases considerably. In this context, the present work focuses on optical sensors with three spectral channels used to capture color-related information of the illumination conditions such as their chromaticities and correlated color temperatures. One major drawback of these devices, in particular with regard to intelligent lighting control, is that even same-type color sensors show production related differences in their color registration. Standard methods for color correction are either impractical for large-scale production or they result in large colorimetric errors. Therefore, this article shows the feasibility of a novel sensor binning approach using the sensor responses to a single white light source for cluster assignment. A cluster specific color correction is shown to significantly reduce the registered color differences for a selection of test stimuli to values in the range of 0.003–0.008 Δu′v′, which enables the wide use of such sensors in practice and, at the same time, requires minimal additional effort in sensor commissioning.

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