jaihyunkoh / fast_tft_characteristics_estimation

Compensating Non-uniform OLED Pixel Brightness in a Vertical Blanking Interval by Learning TFT Characteristics

This is the implementation of Compensating Non-uniform OLED Pixel Brightness in a Vertical Blanking Interval by Learning TFT Characteristics, (IEEE Transactions on Electorn Devices, 2021)

Overview

Project Page : http://data.snu.ac.kr/OLED_external_compensation/
Paper : https://ieeexplore.ieee.org/abstract/document/9437473

Requirements

Python >= 3.0
Pytorch >= 1.1.0

Usage

1. Download data from here and put them in /data.
2. Define image_path and output_file_names in compensation_and_simulation.py
3. Run compensation_and_simulation.py

Folder description

/model contains a RCTCN model written by Pytorch.
/checkpoint contains a pretrained weight set for RCTCN model.

Citation

@ARTICLE{9437473,
  author={Koh, Jaihyun and Kang, Kyeongsoo and Shin, Chaehun and Lee, Soo-Yeon and Yoon, Sungroh},
  journal={IEEE Transactions on Electron Devices}, 
  title={Compensating Nonuniform OLED Pixel Brightness in a Vertical Blanking Interval by Learning TFT Characteristics}, 
  year={2021},
  volume={68},
  number={7},
  pages={3396-3402},
  doi={10.1109/TED.2021.3079232}}