Memory-efficient architecture for contrast enhancement and integral image computation

Dongsub Kim, Jongkil Hyun, Byungin Moon

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

9 Scopus citations

Abstract

This paper proposes a hardware architecture for contrast-limited adaptive histogram equalization (CLAHE) and integral image computation, focusing on the efficient use of memory resources. To save memory resources, the proposed architecture processes each pixel entered in real time without storing the entire image. In addition, this architecture improves resource utilization by optimizing the tile size of CLAHE and computing the integral image via an adder tree. When the proposed architecture was implemented in Xilinx's FPGA XC7Z045 FFG900-2, it used 98, 945 slice LUTs, 85, 600 slice registers, and 8 BRAMs for the CLAHE module, and it used 7, 834 slice LUTs, 7, 498 slice registers, and 19 BRAMs for the integral image module. In addition, the proposed architecture operated at a maximum frequency of 129 MHz in 512 × 512 image resolution.

Original languageEnglish
Title of host publication2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728162898
DOIs
StatePublished - Jan 2020
Event2020 International Conference on Electronics, Information, and Communication, ICEIC 2020 - Barcelona, Spain
Duration: 19 Jan 202022 Jan 2020

Publication series

Name2020 International Conference on Electronics, Information, and Communication, ICEIC 2020

Conference

Conference2020 International Conference on Electronics, Information, and Communication, ICEIC 2020
Country/TerritorySpain
CityBarcelona
Period19/01/2022/01/20

Keywords

  • CLAHE
  • Face detection
  • FPGA
  • Hardware architecture
  • Integral image

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