Compressive Sampling for Array Cameras

Xuefei Yan, David J. Brady, Weiping Zhang, Changzhi Yu, Yulin Jiang, Jianqiang Wang, Chao Huang, Zian Li, Zhan Max

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

While design of high-performance lenses and image sensors has long been the focus of camera development, the size, weight, and power of image data processing components are currently the primary barriers to radical improvements in camera resolution. Here we show that deep learning-aided compressive sampling can reduce operating power on camera head electronics by 20 times or more. Traditional compressive sampling has to date been primarily applied in the physical sensor layer. We show here that with the aid of deep learning algorithms, compressive sampling is offers unique power management advantages in digital layer compression.

Original languageEnglish (US)
Pages (from-to)156-177
Number of pages22
JournalSIAM Journal on Imaging Sciences
Volume14
Issue number1
DOIs
StatePublished - 2021
Externally publishedYes

Keywords

  • compressive sampling
  • gigapixel imaging
  • neural compression

ASJC Scopus subject areas

  • General Mathematics
  • Applied Mathematics

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