TY - GEN
T1 - A novel burn-in potential region detection method using image processing technique
AU - Shin, Yong Goo
AU - Lee, Dae Hong
AU - Kang, Mun Cheon
AU - Lee, Jeisung
AU - Ko, Sung Jea
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/3/29
Y1 - 2017/3/29
N2 - The organic light emitting diode (OLED) display has been widely adopted to various multimedia devices with superior performance in terms of image quality and power efficiency. However, the luminance degradation of the OLEDs, called burn-in, is still one of the major problems. This paper presents a novel method of detecting the burn-in potential region (BPR) to alleviate the luminance degradation. First, in order to extract the burn-in potential pixels (BPPs) which deteriorate the uniformity of the display, we calculate the remaining lifetime of OLED of each pixel. Then, the BPRs are detected by the level set based image segmentation using the BPPs as the seed points. The experimental results demonstrate that the proposed method detects BPRs with superior effectiveness compared with other alternative methods.
AB - The organic light emitting diode (OLED) display has been widely adopted to various multimedia devices with superior performance in terms of image quality and power efficiency. However, the luminance degradation of the OLEDs, called burn-in, is still one of the major problems. This paper presents a novel method of detecting the burn-in potential region (BPR) to alleviate the luminance degradation. First, in order to extract the burn-in potential pixels (BPPs) which deteriorate the uniformity of the display, we calculate the remaining lifetime of OLED of each pixel. Then, the BPRs are detected by the level set based image segmentation using the BPPs as the seed points. The experimental results demonstrate that the proposed method detects BPRs with superior effectiveness compared with other alternative methods.
UR - http://www.scopus.com/inward/record.url?scp=85018254021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85018254021&partnerID=8YFLogxK
U2 - 10.1109/ICCE.2017.7889289
DO - 10.1109/ICCE.2017.7889289
M3 - Conference contribution
AN - SCOPUS:85018254021
T3 - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017
SP - 215
EP - 216
BT - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017
A2 - Sanchez, Daniel Diaz
A2 - Lee, Jong-Hyouk
A2 - Pescador, Fernando
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Consumer Electronics, ICCE 2017
Y2 - 8 January 2017 through 10 January 2017
ER -