PMNet: Passive Matrix Electrochromic Display Driving Scheme Using Neural Networks

Seok Jeong Song, Ki Hyuk Seol, Hyoungsik Nam

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper presents a novel machine learning approach to PM image generation of ECD panel for HDR imaging. The high transmittance ECD panel can be employed in front of camera lens to obtain HDR images by providing low and high transmittance over the bright and dark areas, respectively. Additionally, to achieve low power consumption, fast refresh rate, and low fabrication cost, the whole pixels of an ECD panel should be updated simultaneously, which is named as simultaneous PM driving (SPMD) method. Because there is the limitation on the images that are presented by SPMD, it needs to find out the closest PM image to the reference image. The proposed PMNet based on two fully-connected layers learns an end-to-end mapping between the reference images and the PM images. The proposed PMNet is evaluated in MSE and SSIM.

Original languageEnglish
Pages (from-to)647-649
Number of pages3
JournalDigest of Technical Papers - SID International Symposium
Volume49
Issue number1
DOIs
Publication statusPublished - 2018
EventSID Symposium, Seminar, and Exhibition 2018, Display Week 2018 - Los Angeles, United States
Duration: 20 May 201825 May 2018

Bibliographical note

Publisher Copyright:
© 2018 SID.

Keywords

  • Electrochromic display
  • Neural network
  • Passive matrix

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