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20.3: Quantitative Analysis of Image Sticking in LCDs
Author(s) -
Park SeungChul,
Lim KyongHo,
Choi SinHu,
Soh HoeSup
Publication year - 2007
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.2785484
Subject(s) - luminance , computer vision , artificial intelligence , image (mathematics) , software , image processing , image analysis , computer science , digital image processing , programming language
We have analyzed the phenomenon of image sticking and studied for the method of quantifying image sticking by the three different analysis methods. The three analysis methods are R_SEMU [1], Color Difference [2] and Luminance Ratio. We usually use a chessboard pattern to test the image sticking of LCD panels. A new method is NVP (Non‐uniformity value of panel). NVP removes a non‐uniformity luminance of a panel except the image sticking on the reference image and the image tested. The NVP increases the accuracy of the image sticking analysis. We have measured the image sticking after an image sticking test using a 2D CCD camera and then analyzed the data comparing with a reference image using R_SEMU, Color Difference and Luminance Ratio. We investigate which method is the best analysis one for the evaluation of the image sticking. We have developed an analysis software using VBA. This software can select the quantitative level of image sticking.