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OLED Degradation Compensation Using Non-Blind Super-Resolution with Data Counting

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2026, 31(1), pp.13~24
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 6, 2025
  • Accepted : December 23, 2025
  • Published : January 30, 2026

Joon-Min Park 1 Seon-Yoo Kim 1 Gye-Young Kim 1

1숭실대학교

Accredited

ABSTRACT

While Single Image Super-Resolution (SISR) using paired High-Resolution (HR) and Low-Resolution (LR) datasets is effective, obtaining these pairs in real-world scenarios is a challenge. We address this by applying SR to 'Data Counting for OLED Degradation Compensation,' a domain where acquiring such real-world datasets is feasible. This approach uses SR to efficiently reduce the large amount of data required for the counting-based compensation method, which tracks image accumulation to counter OLED deterioration. For our task, we selected the most suitable model and employed a Sequential Up-scaling technique to effectively implement high-magnification SR.

Citation status

* References for papers published after 2024 are currently being built.