Low-complexity digital filter bank for strongly aberrated optical systems having variable F-numbers

  • Authors:

  • Guotong Feng;M. Dirk Robinson;Kathrin Berkner

  • Affiliations:

  • Ricoh Innovations, Inc., Menlo Park, CA;Ricoh Innovations, Inc., Menlo Park, CA;Ricoh Innovations, Inc., Menlo Park, CA

  • Venue:
  • ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
  • Year:
  • 2009

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Abstract

It has been shown that electro-optical imaging systems designed by integrating optics and digital processing provide system-level advantages such as extended depth-of-field and lower optical component costs. In such imaging systems, the strength of the optical aberration or blur can dramatically change with the f-number, and hence different digital filters in the subsequent digital processing are required to correct the captured images at different f-numbers. However, implementing such number of filters in hardware requires expensive computational resources, which in turn increase the overall system cost. In this paper, we propose a simple image filtering approach which uses a weighted sum of a set of component finite impulse response (FIR) filters to effectively apply a different composite FIR filter for each f-number. The simulation results demonstrate that our approach achieves desirable image quality for variable f-numbers, while substantially reducing the complexity in hardware implementation.