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60‐1: Novel Image Sticking Prevention Method Using Deep Learning
Author(s) -
Yoo Youngwook,
Lee Jungyu,
Chun Byungki,
Ahn Kukhwan,
Choi Yongseok,
Moon Junhee,
You Bonghyun
Publication year - 2020
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 - 10.1002/sdtp.14013
Subject(s) - artificial intelligence , luminance , computer vision , pixel , computer science , deep learning , object detection , image (mathematics) , object (grammar) , pattern recognition (psychology)
It is a proposal for preventing image sticking of OLED using deep learning based object detection. It was able to detect transparent objects superimposed on complex backgrounds and we got 92% detection performance. The burn‐in pixels can be detected in real time and the luminance can be adjusted to 80%.
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