Real-time Learned Image Codec on FPGA

Heming Sun, Qingyang Yi, Fangzheng Lin, Lu Yu, Jiro Katto, Masahiro Fujita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This demo paper gives a real-time learned image codec on FPGA. By using Xilinx VCU128, the proposed system reaches 720P@30fps codec, which is 7.76x faster than prior work.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Visual Communications and Image Processing, VCIP 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665475921
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Visual Communications and Image Processing, VCIP 2022 - Suzhou, China
Duration: 2022 Dec 132022 Dec 16

Publication series

Name2022 IEEE International Conference on Visual Communications and Image Processing, VCIP 2022

Conference

Conference2022 IEEE International Conference on Visual Communications and Image Processing, VCIP 2022
Country/TerritoryChina
CitySuzhou
Period22/12/1322/12/16

Keywords

  • FPGA
  • Image coding
  • neural network

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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