2020
DOI: 10.1109/jeds.2020.3001657
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Luminance Compensation and Optimization to Delay OLED Degradation Based on Equivalent Lifetime Detection

Abstract: In this paper, luminance compensation and optimization without internal or external sensing circuits to delay OLED degradation based on equivalent lifetime detection is proposed. The proposed method can estimate the dynamic luminance degradation with the equivalent lifetime equation derived by converting display time of any OLED cell at different luminance to a reference display time at a certain luminance. According to the calculated equivalent lifetime, luminance compensation is carried out by increasing dri… Show more

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Cited by 7 publications
(5 citation statements)
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“…4(h)). In addition, via the formula (LT 1 /LT 2 ) 1.8 = T 2 /T 1 , 27 the lifetime of the devices at 1000 cd m À2 can be extrapolated. For the Hept-TRZ PhOLED device, the LT 95 at 1000 cd m À2 is calculated to be 8777 hours.…”
Section: Pholed Performancementioning
confidence: 99%
“…4(h)). In addition, via the formula (LT 1 /LT 2 ) 1.8 = T 2 /T 1 , 27 the lifetime of the devices at 1000 cd m À2 can be extrapolated. For the Hept-TRZ PhOLED device, the LT 95 at 1000 cd m À2 is calculated to be 8777 hours.…”
Section: Pholed Performancementioning
confidence: 99%
“…[8][9][10][11][12][13][14] In organic LEDs (OLEDs) and quantum-dot LEDs (QLEDs) cases, the degradation trend can be well fitted by using exponential decay models. [15][16][17][18] So, one usually only experimentally tests T 95 of their lifetimes, and the rest lifetimes can be predicted by the exponential decay models. However, although it is generally accepted that the decay of perovskite LEDs are associated with the ion migration, the degradation mechanism of perovskite LEDs is much more complex.…”
Section: Introductionmentioning
confidence: 99%
“…Traditional low-light image enhancement algorithms mainly rely on image processing and computer vision techniques, using methods such as brightness compensation [ 3 ] and contrast enhancement [ 4 ] to improve the quality of low-light images. Examples include the Retinex model [ 5 , 6 , 7 , 8 , 9 ], histogram equalization [ 10 ], and grayscale transformation [ 11 ].…”
Section: Introductionmentioning
confidence: 99%