A color adjustment convolutional neural network for image superresolution

Jong Hyeong Kim, Jae Won Jang, Kyung Jae Jang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we propose superresolution convolutional neural network with color adjustment layer to obtain high quality images. We added a color adjustment layer to the last convolutional neural network layer to correct the color error.

Original languageEnglish
Title of host publicationInternational Conference on Electronics, Information and Communication, ICEIC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538647547
DOIs
StatePublished - 2 Apr 2018
Event17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States
Duration: 24 Jan 201827 Jan 2018

Publication series

NameInternational Conference on Electronics, Information and Communication, ICEIC 2018
Volume2018-January

Conference

Conference17th International Conference on Electronics, Information and Communication, ICEIC 2018
Country/TerritoryUnited States
CityHonolulu
Period24/01/1827/01/18

Keywords

  • Artificial Intelligence
  • Convolutional Networks
  • Deep Learning
  • Image Processing
  • Super-Resolution

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