Two‐primary crosstalk model for characterizing liquid crystal displays

Wen, Senfar; Wu, Royce

doi:10.1002/col.20187

Cited by 23 publications

(10 citation statements)

References 9 publications

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“…Therefore, it is complex to consider this in the simulation [26]. Taking this into account, we have defined a parameter for the spectral residual light components that occur as a result of the unwanted electrical crosstalk.…”

Section: Spectral Luminance and Crosstalk Measurementsmentioning

confidence: 99%

Time-Sequential Working Wavelength-Selective Filter for Flat Autostereoscopic Displays

et al. 2017

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A time-sequential working, spatially-multiplexed autostereoscopic 3D display design consisting of a fast switchable RGB-color filter array and a fast color display is presented. The newly-introduced 3D display design is usable as a multi-user display, as well as a single-user system. The wavelength-selective filter barrier emits the light from a larger aperture than common autostereoscopic barrier displays with similar barrier pitch and ascent. Measurements on a demonstrator with commercial display components, simulations and computational evaluations have been carried out to describe the proposed wavelength-selective display design in static states and to show the weak spots of display filters in commercial displays. An optical modelling of wavelength-selective barriers has been used for instance to calculate the light ray distribution properties of that arrangement. In the time-sequential implementation, it is important to avoid that quick eye or eyelid movement leads to visible color artifacts. Therefore, color filter cells, switching faster than conventional LC display cells, must distribute directed light from different primaries at the same time, to create a 3D presentation. For that, electric tunable liquid crystal Fabry-Pérot color filters are presented. They switch on-off the colors red, green and blue in the millisecond regime. Their active areas consist of a sub-micrometer-thick nematic layer sandwiched between dielectric mirrors and indium tin oxide (ITO)-electrodes. These cells shall switch narrowband light of red, green or blue. A barrier filter array for a high resolution, glasses-free 3D display has to be equipped with several thousand switchable filter elements having different color apertures.Keywords: fast switchable wavelength-selective elements; autostereoscopic image splitter; color filter barrier array; computational display; Fabry-Pérot color filter; on-off filter mode

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Section: Spectral Luminance and Crosstalk Measurementsmentioning

confidence: 99%

Time-Sequential Working Wavelength-Selective Filter for Flat Autostereoscopic Displays

et al. 2017

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“…The second group can be denoted as numerical models. 11,12,27,35,36 They are based on a training data set that typically permits the optimization of the parameters of a polynomial function to establish the transform. The numerical models suppose that the mathematical transform can be approximated by a set of equations, usually an n-order polynomial function.…”

Section: Modeling Displaysmentioning

confidence: 99%

“…27 A new matrix might have to be defined by regression in numerical models. 11,12,35,36 A full-optimization process has to be set up for each color, such as in the S-curve model II 15,16 in the modified masking model 27 or in the PLVC model. 18 The optimization process can appear only for one step of the inversion process, as in the PLVC 17 or in the S-curve I 15,16 models.…”

Section: Model Inversionmentioning

confidence: 99%

High‐end colorimetric display characterization using an adaptive training set

Colantoni¹,

Thomas²,

Hardeberg³

2011

J Soc Info Display

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International audienceA new, accurate, and technology-independent display color-characterization model, and its application to the colorimetric rendering of multispectral images, is introduced. It is based on polyharmonic spline interpolation and on an optimized adaptive training data set. The establishment of this model is fully automatic and requires only a few minutes,making it efficient in a practical situation. The experimental results are very good for both the forward and inverse models. Typically, the proposed model yields an average model prediction error of about 1 ΔEab* unit or below for several displays. The maximum error is shown to be low as well

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“…Since there are various display characteristics which can be considered (Brainard et al, 2002), we focus on the ones we think are the most critical to evaluate. We explicitly assume that additivity is given for a device, as the models which account for channel dependencies are rather complex, too inaccurate, or not readily invertible and thus impracticable if an inverse model is needed (Wen and Wu, 2006;Cho et al, 2006).…”

Section: Display Characteristicsmentioning

confidence: 99%

Spatial Color Confidence for Physically Based Rendering Settings on Lc Displays

Koch¹,

Henrich

2010

Proceedings of the International Conference on Computer Graphics Theory and Applications

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Color confidence is crucial regarding physically-based rendering settings in order to produce most promising visual results. Display characterization and in particular spatial inhomogeneity correction is often neglected in physically-based rendering applications, yet, are important to achieve color confidence. By evaluating relevant display characteristics, this paper recommends a strategy for selecting the most suitable characterization model for a given device. We indicate the importance of correcting spatial inhomogeneity and, on that account, provide an extension to the applied characterization models. All characterization models as well as our proposed extensions are implemented using modern graphics hardware, therefore, applicable to real time applications. The focus is on finding an optimal characterization model which can achieve color confidence across the display while reducing characterization time and effort. All models are created using a common, single point, consumer measurement device and applied to two LC displays.

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Two‐primary crosstalk model for characterizing liquid crystal displays

Cited by 23 publications

References 9 publications

Time-Sequential Working Wavelength-Selective Filter for Flat Autostereoscopic Displays

Time-Sequential Working Wavelength-Selective Filter for Flat Autostereoscopic Displays

High‐end colorimetric display characterization using an adaptive training set

Spatial Color Confidence for Physically Based Rendering Settings on Lc Displays

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