Estimation of Equivalent Conditions for Display Sparkle Measurement

Kurashige, Makio; Furui, Gen; Ishida, Kazutoshi; Nishio, Shumpei; Nakai, Toshiko; Suzuki, Hiroko; Tsunekawa, Masayuki; Iwata, Yukimitsu; Nakamura, Norinaga

doi:10.36463/idw.2019.1114

Cited by 4 publications

(6 citation statements)

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“…Becker [1,2] summarized four different methods, which can perform the required separation, either by the image capture condition [4][5][6][7] or by applying an appropriate filter [1,2]. In the defocus approach [4,5], the focus position is adjusted before the capture such that the pixel pattern layer is blurred, while the sparkle remains sharp.…”

Section: Separation Of Sparkle From Pixel Matrixmentioning

confidence: 99%

“…However, this setup has very tough requirements and reproducibility is a big issue using this approach (see section 3). In the undersampling approach [6,7] the magnification is adjusted such that the pixel layer is not visible in the captured image. However, as the magnification needs to be smaller than one, a BlackMURA specification requirement is violated.…”

Section: Separation Of Sparkle From Pixel Matrixmentioning

confidence: 99%

“…The quantification of unwanted display sparkle, which arises due to the interaction of the pixel structure of information displays with Anti-Glare Layers (AGL) [1], has been the focus of several studies [1][2][3][4][5][6][7][8][9]. However, in many cases these studies focus only on the relative comparison of several glass samples, its correlation to human perception and repeatability.…”

Section: Introductionmentioning

confidence: 99%

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24.3: Understanding and Achieving Reproducibility for the Evaluation of Display Sparkle Contrast

Rotscholl

Rasmussen²,

Rickers

et al. 2021

Symp Digest of Tech Papers

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The reproducible quantification of anti‐glare layer based display sparkle with Imaging Luminance Measurement Devices (ILMD) is essential for testing and conformity assessment of many displays aiming at outdoor applications. This study systematically researches relevant setup and system influences of a Fourier space‐based sparkle evaluation. These include 13 different antiglare layers, two displays with different PPI, and several different system setups featuring 12 different camera/lens combinations and more than 10000 individual luminance images. Based on the resulting sensitivities, the measurement procedure is optimized with respect to the achieved reproducibility. The resulting procedure serves as basis to define a new automotive specification for reproducible sparkle measurements and may do so for other applications, that need to quantify sparkle in a reproducible way.

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Section: Separation Of Sparkle From Pixel Matrixmentioning

confidence: 99%

Section: Separation Of Sparkle From Pixel Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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24.3: Understanding and Achieving Reproducibility for the Evaluation of Display Sparkle Contrast

Rotscholl

Rasmussen²,

Rickers

et al. 2021

Symp Digest of Tech Papers

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“…Kurashige reported the study to find the equivalent conditions with imaging lenses with different focal length [2]. The report shows that very narrow distribution of the sparkle contrast in the lower effective F-number ( 𝐹# <4) and the higher Fnumber regions with various focal length and measurement distance.…”

Section: Introductionmentioning

confidence: 99%

“…There are many reports for measuring the display sparkle contrast [1][2][3][4], the sparkle contrast value can't be compared directly because the sparkle contrast strongly depends on the measurement conditions. The dependency on the measurement conditions is so complicated that no standard condition have been established for obtaining the unique sparkle contrast value.…”

Section: Introductionmentioning

confidence: 99%

18‐2: Equivalent Conditions for Display Sparkle Contrast Measurement with Different Optical Magnification

Isshiki,

Inouye,

Endo

2023

Symp Digest of Tech Papers

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Error analysis of sparkle contrast by applying image subtraction method

et al. 2022

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Measurement error of sparkle contrast was investigated by applying image subtraction method. The sparkle contrast was measured by changing the region of interest (ROI) and the imaging F‐number, while the measurement distance was fixed. The statistical error was dependent on the size of the ROI. It was suppressed when the ROI was over 100 × 100 LMD pixels under the condition which the intensity modulation of the image of the display matrix elements optically disappeared on the LMD sensor plane by choosing the specific combination of the effective F‐number of the imaging lens, the pitch of the display matrix element, and the optical magnification. The ratio of the intensity standard deviation of the subtracted image to that of the original image could be used as an error indicator of the statistical error by insufficient sampling points. It could also be used for analyzing the error caused by the low‐frequency intensity variations within the ROI. In case that the low‐frequency intensity variations were not eliminated from the measured sparkle pattern, the sparkle contrast kept changing with increasing the ROI. The error indicator was not converged to the certain value even if the size of the ROI was over 100 × 100 LMD pixels.

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Estimation of Equivalent Conditions for Display Sparkle Measurement

Cited by 4 publications

References 0 publications

24.3: Understanding and Achieving Reproducibility for the Evaluation of Display Sparkle Contrast

24.3: Understanding and Achieving Reproducibility for the Evaluation of Display Sparkle Contrast

18‐2: Equivalent Conditions for Display Sparkle Contrast Measurement with Different Optical Magnification

Error analysis of sparkle contrast by applying image subtraction method

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