DocumentCode :
1836156
Title :
A self-adapting high dynamic-range visual representation algorithm for AER imagers
Author :
Tiziani, Mauro ; Massari, Nicola ; Jawed, Syed Arsalan ; Gottardi, Massimo
Author_Institution :
Microsyst. Div., Fondazione Bruno Kessler, Trento
fYear :
2008
fDate :
18-21 May 2008
Firstpage :
1388
Lastpage :
1391
Abstract :
A novel algorithm for high intra-scene dynamic-range images representation is here proposed, which is based on Address Event Representation (AER) visual data. The values of the spiking pixels coming from the sensor are dynamically mapped into an 8-bit output, providing a real-time equalization of the scene. The algorithm has been tested using an AER emulator, based on a time-to-first spike imager. The simple implementation of the proposed technique makes it particularly suitable for AER sensors, turning into a real time processing and large programmability on the output tone mapping.
Keywords :
image representation; image sensors; address event representation; high intra-scene dynamic-range images representation; real-time equalization; self-adapting high dynamic-range visual representation algorithm; time-to-first spike imager; CMOS process; Costs; Dynamic range; Energy consumption; Heuristic algorithms; Layout; Pixel; Pulse width modulation; Space vector pulse width modulation; Turning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2008. ISCAS 2008. IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1683-7
Electronic_ISBN :
978-1-4244-1684-4
Type :
conf
DOI :
10.1109/ISCAS.2008.4541686
Filename :
4541686
Link To Document :
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