OpenICS: Open image compressive sensing toolbox and benchmark[Formula presented]

Jonathan Zhao, Márk Lakatos-Tóth, Matthew Westerham, Zhikang Zhang, Avi Moskoff, Fengbo Ren

Research output: Contribution to journalArticlepeer-review

Abstract

The real-world application of image compressive sensing is largely limited by the lack of standardization in implementation and evaluation. To address this limitation, we present OpenICS, an image compressive sensing toolbox that implements multiple popular image compressive sensing algorithms into a unified framework with a standardized user interface. Furthermore, a corresponding benchmark is also proposed to provide a fair and complete evaluation of the implemented algorithms. We hope this work can serve the growing research community of compressive sensing and the industry to facilitate the development and application of image compressive sensing.

Original languageEnglish (US)
Article number100081
JournalSoftware Impacts
Volume9
DOIs
StatePublished - Aug 2021
Externally publishedYes

Keywords

  • Compressive sensing
  • Computer vision
  • Image processing
  • Machine learning
  • Signal processing

ASJC Scopus subject areas

  • Software

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