Multidimensional Systems and Signal Processing

, Volume 18, Issue 2, pp 83–101

Super-resolution reconstruction in a computational compound-eye imaging system

  • Wai-San Chan
  • Edmund Y. Lam
  • Michael K. Ng
  • Giuseppe Y. Mak
Original Article

DOI: 10.1007/s11045-007-0022-3

Cite this article as:
Chan, WS., Lam, E.Y., Ng, M.K. et al. Multidim Syst Sign Process (2007) 18: 83. doi:10.1007/s11045-007-0022-3

Abstract

From consumer electronics to biomedical applications, device miniaturization has shown to be highly desirable. This often includes reducing the size of some optical systems. However, diffraction effects impose a constraint on image quality when we simply scale down the imaging parameters. Over the past few years, compound-eye imaging system has emerged as a promising architecture in the development of compact visual systems. Because multiple low-resolution (LR) sub-images are captured, post-processing algorithms for the reconstruction of a high-resolution (HR) final image from the LR images play a critical role in affecting the image quality. In this paper, we describe and investigate the performance of a compound-eye system recently reported in the literature. We discuss both the physical construction and the mathematical model of the imaging components, followed by an application of our super-resolution algorithm in reconstructing the image. We then explore several variations of the imaging system, such as the incorporation of a phase mask in extending the depth of field, which are not possible with a traditional camera. Simulations with a versatile virtual camera system that we have built verify the feasibility of these additions, and we also report the tolerance of the compound-eye system to variations in physical parameters, such as optical aberrations, that are inevitable in actual systems.

Keywords

Super-resolutionCompound-eyePhase-mask

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Wai-San Chan
    • 1
  • Edmund Y. Lam
    • 1
  • Michael K. Ng
    • 2
  • Giuseppe Y. Mak
    • 1
  1. 1.Department of Electrical and Electronic EngineeringThe University of Hong KongHong KongHong Kong
  2. 2.Department of MathematicsHong Kong Baptist UniversityHong KongHong Kong