Adaptive coded aperture photography

  • Authors:
  • Oliver Bimber;Haroon Qureshi;Anselm Grundhöfer;Max Grosse;Daniel Danch

  • Affiliations:
  • Johannes Kepler University Linz;Johannes Kepler University Linz;Disney Research Zurich;Bauhaus-University Weimar;Johannes Kepler University Linz

  • Venue:
  • ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
  • Year:
  • 2011

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Abstract

We show how the intrinsically performed JPEG compression of many digital still cameras leaves margin for deriving and applying image-adapted coded apertures that support retention of the most important frequencies after compression. These coded apertures, together with subsequently applied image processing, enable a higher light throughput than corresponding circular apertures, while preserving adjusted focus, depth of field, and bokeh. Higher light throughput leads to proportionally higher signal-to-noise ratios and reduced compression noise, or - alternatively- to lower shutter times. We explain how adaptive coded apertures can be computed quickly, how they can be applied in lenses by using binary spatial light modulators, and how a resulting coded bokeh can be transformed into a common radial one.