Oliver Bimber, Haroon Farooq Qureshi, Anselm Grundhöfer, M. Grosse, Daniel Danch,
"Adaptive Coded Aperture Photography"
: Proceedings of 7th International Symposium on Visual Computing ISVC'11, Serie Lecture Notes in Computer Science (LNCS), Vol. 6938/2011, Springer-Verlag, Berlin Heidelberg, Seite(n) 54-65, 2011
Original Titel:
Adaptive Coded Aperture Photography
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of 7th International Symposium on Visual Computing ISVC'11
Original Kurzfassung:
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.