Multi-Resolutional Image Format Using Stochastic Numbers and Its Hardware Implementation

研究成果: Conference contribution

抄録

The popularization of IoT devices made image processing very common for users. Image formats used in hardware abound since there are varieties of IoT devices. Conversion of image formats in hardware is relatively complicated compared with other calculation. This paper focuses on conversion of image resolution, especially image reduction. By expressing images with stochastic numbers, this paper proposes an image format which can be treated to be in several resolution with one data. From experimental evaluations, we found that the proposed image format enables image reduction by pixel average to be implemented into hardware with lower costs compared with conventional pixel average using binary numbers. Also, image magnification using the proposed image format can restore the original image, while conventional image magnification cannot.

本文言語English
ホスト出版物のタイトル2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728134277
DOI
出版ステータスPublished - 2020 2
イベント11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020 - San Jose, Costa Rica
継続期間: 2020 2 252020 2 28

出版物シリーズ

名前2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020

Conference

Conference11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020
CountryCosta Rica
CitySan Jose
Period20/2/2520/2/28

ASJC Scopus subject areas

  • Hardware and Architecture
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Instrumentation

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