Adaptive Coded Aperture Photography

Oliver Bimber, Haroon Farooq Qureshi, Anselm Grundhöfer, M. Grosse, Daniel Danch

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

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.
Original languageEnglish
Title of host publicationAdvances in Visual Computing - 7th International Symposium, ISVC 2011, Proceedings
Place of PublicationBerlin Heidelberg
PublisherSpringer Verlag
Pages54-65
Number of pages12
Volume6938/2011
ISBN (Print)9783642240270
DOIs
Publication statusPublished - 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6938 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 102 Computer Sciences
  • 102003 Image processing
  • 102026 Virtual reality

JKU Focus areas

  • Engineering and Natural Sciences (in general)

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