A Fine-Granularity Image Pyramid Accelerator for Embedded Processors

Chun Jen Tsai*, Chiang Yi Wang

*Corresponding author for this work

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

2 Scopus citations


Image-pyramid generator is an important component for many computer vision applications. Due to the complexity of image scaling operations, embedded application processors usually generate three- or four-level image pyramids for vision applications. In this paper, we present an image pyramid accelerator for embedded processors that generates image pyramids of up to 24-levels of down-sampled resolutions for the input image. Since image pyramids are crucial for the coarse-to-fine analysis of many computer vision problems, more resolution levels in the image pyramid can improve the parameter-estimation accuracy. Furthermore, the down-sampling filters used in the proposed design is based on a long-tap Sine-windowed Sinc function filter. Therefore, it preserves more image details than other low-complexity filters such as the bilinear or the bicubic interpolation filter. The proposed circuit is verified on an FPGA development board with a Xilinx Kintex-7 device and will be made open-source. The experimental results show that the design is very promising for real-time computer vision applications.

Original languageEnglish
Title of host publicationEmbedded Computer Systems
Subtitle of host publicationArchitectures, Modeling, and Simulation - 20th International Conference, SAMOS 2020, Proceedings
EditorsAlex Orailoglu, Matthias Jung, Marc Reichenbach
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9783030609382
StatePublished - 2020
Event20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020 - Samos, Greece
Duration: 5 Jul 20209 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12471 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference20th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2020


  • Coarse-to-fine processing
  • Computer vision
  • Down-sampling filter
  • Hardware-software codesign
  • Image pyramid


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