Title :
High dynamic range simultaneous signal compositing, applied to audio
Author :
Janzen, Ryan ; Mann, Sebastian
Author_Institution :
Univ. of Toronto, Toronto, ON, Canada
fDate :
April 29 2012-May 2 2012
Abstract :
High Dynamic Range (HDR) compositing is well established in the field of image processing, where a sequence of differently-exposed images of the same scene are combined to overcome the limited dynamic range of ordinary cameras. We extend this technique to audio. Rather than acquiring samples separated by time or space, as is done in HDR image processing, we propose to perform simultaneous sampling of the same input signal, using differently-gained versions of the same HDR signal fed into separate analog to digital converters (ADCs). An HDR audio signal is thus sampled by merging a set of low dynamic range (LDR) samplings of the original HDR input signal. We optimize the choice of LDR input gains to achieve as high a dynamic range as possible for a desired sampling accuracy.
Keywords :
analogue-digital conversion; audio signal processing; signal sampling; HDR audio signal sampling; analog to digital converter; differently-exposed image sequence; differently-gained version; high dynamic range compositing; high dynamic range simultaneous signal compositing; image processing; low dynamic range sampling; Dynamic range; Gain; Gain control; Histograms; Probability density function; Quantization; Resource description framework; CDR audio; HDR audio; composited dynamic range (CDR); high dynamic range compositing; simultaneous HDR compositing;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6334945