Investigation of computational compound-eye imaging system with super-resolution reconstruction

Wai San Chan*, Edmund Y. Lam, Kwok Po NG

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Despite the emerging architectural designs of compound-eye imaging systems, the post-processing algorithms for the reconstruction of the final image from the multiple sub-images is still not fully developed to maturity, resulting in poor quality or low resolution of the reconstructed images. In this paper, we describe and investigate a practical computational compound-eye imaging system with super-resolution reconstruction. This methodology can enhance the image quality by increasing the resolution of the reconstructed image. A virtual compound-eye camera is built to demonstrate the feasibility of the system. Simulation results which investigate the tolerance of the system to lens diversity, for instance focal length and aberrations, are also presented.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
PagesIV1177-IV1180
Publication statusPublished - 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: 14 May 200619 May 2006

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
ISSN (Print)1520-6149

Conference

Conference2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/TerritoryFrance
CityToulouse
Period14/05/0619/05/06

Scopus Subject Areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Investigation of computational compound-eye imaging system with super-resolution reconstruction'. Together they form a unique fingerprint.

Cite this