2009
DOI: 10.1889/1.3256561
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P‐188L: Late‐News Poster: Quantification of Image Sticking for Images with Different Long‐Range Non‐Uniformity

Abstract: A new estimation method for image sticking has been developed that can effectively eliminate the influence by the difference in long‐range non‐uniformity pattern. An 8×8 chessboard pattern was used for selective degradation, and normalization based on extracted reference and coefficient of variation were adopted for better results.

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Cited by 1 publication
(2 citation statements)
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“…The scaled reference value for the block in the m-th row and n-th column, S m,n , is expressed as (13) where µ L is the mean of L m,n and µ R is the mean of R m,n . Then the normalized luminance can be redefined as follows: (14) For the 12 examples provided by images A, B, and C, each aged for four different lengths of time, the µ NL of the redefined normalized luminance is always unity with an error less than 0.0004. When µ NL is unity, the RSD reduces to σ NL .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The scaled reference value for the block in the m-th row and n-th column, S m,n , is expressed as (13) where µ L is the mean of L m,n and µ R is the mean of R m,n . Then the normalized luminance can be redefined as follows: (14) For the 12 examples provided by images A, B, and C, each aged for four different lengths of time, the µ NL of the redefined normalized luminance is always unity with an error less than 0.0004. When µ NL is unity, the RSD reduces to σ NL .…”
Section: Resultsmentioning
confidence: 99%
“…In this paper, we have analyzed our initially introduced evaluation method, 14 where we have developed a new set of reference values which can be used to remove the long-range non-uniformity (LRNU) without regard to the previous state of a display device. These new reference values are extracted from a set of measured luminance values.…”
Section: Introductionmentioning
confidence: 99%