DocumentCode :
3515140
Title :
The gigavision camera
Author :
Sbaiz, Luciano ; Yang, Feng ; Charbon, Edoardo ; Süsstrunk, Sabine ; Vetterli, Martin
Author_Institution :
LCAV - Sch. of Comput. & Commun. Sci., Ecole Polytech. Fed. de Lausanne, Lausanne
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
1093
Lastpage :
1096
Abstract :
We propose a new image device called gigavision camera. The main differences between a conventional and a gigavision camera are that the pixels of the gigavision camera are binary and orders of magnitude smaller. A gigavision camera can be built using standard memory chip technology, where each memory bit is designed to be light sensitive. A conventional gray level image can be obtagray level image can be obtained from the binary gigavision image by low-ined from the binary gigavision image by low-pass filtering and sampling. The main advantage of the gigavision camera is that its response is non-linear and similar to a logarithmic function, which makes it suitable for acquiring high dynamic range scenes. The larger the number of binary pixels considered, the higher the dynamic range of the gigavision camera will be. In addition, the binary sensor of the gigavision camera can be combined with a lens array in order to realize an extremely thin camera. Due to the small size of the pixels, this design does not require deconvolution techniques typical of similar systems based on conventional sensors.
Keywords :
image resolution; image sensors; low-pass filters; gigavision camera; gray level image; logarithmic function; low-pass filtering; memory chip technology; Cameras; Deconvolution; Dynamic range; Filtering; Image sampling; Layout; Lenses; Low pass filters; Sensor arrays; Sensor systems; computational photography; high dynamic range imaging; logarithmic sensor response; thin camera;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959778
Filename :
4959778
Link To Document :
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