CLAHE implementation on a low-end FPGA board by high-level synthesis

Koki Honda, Kaijie Wei, Masatoshi Arai, Hideharu Amano

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Automobile companies have been trying to replace side mirrors of cars with small cameras for reducing air resistance. It enables us to apply some image processing for improving quality. This paper describes a design of Contrast Limited Adaptive Histogram Equalization (CLAHE), which improves the quality of the dark image for the side mirror camera, on a low-end FPGA board by high-level synthesis. By constituting CLAHE as a data flow design flow, we could achieve performance comparable to the implementation with HDL. The code is parameterized so that the number of tiles and the size of the image can be easily changed. The source code for this research can be downloaded from https://github.com/kokihonda/fpga_clahe.

本文言語English
ホスト出版物のタイトルProceedings - 2020 8th International Symposium on Computing and Networking Workshops, CANDARW 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ282-285
ページ数4
ISBN(電子版)9781728199191
DOI
出版ステータスPublished - 2020 11月
イベント8th International Symposium on Computing and Networking Workshops, CANDARW 2020 - Virtual, Naha, Japan
継続期間: 2020 11月 242020 11月 27

出版物シリーズ

名前Proceedings - 2020 8th International Symposium on Computing and Networking Workshops, CANDARW 2020

Conference

Conference8th International Symposium on Computing and Networking Workshops, CANDARW 2020
国/地域Japan
CityVirtual, Naha
Period20/11/2420/11/27

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • ハードウェアとアーキテクチャ
  • 計算数学
  • 制御と最適化

フィンガープリント

「CLAHE implementation on a low-end FPGA board by high-level synthesis」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル