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2009 IEEE International Conference on Acoustics, Speech and Signal Processing
The gigavision camera
Taipei, Taiwan
April 19-April 24
ISBN: 978-1-4244-2353-8
| ASCII Text | x | ||
| Luciano Sbaiz, Feng Yang, Edoardo Charbon, Sabine Susstrunk, Martin Vetterli, "The gigavision camera," Acoustics, Speech, and Signal Processing, IEEE International Conference on, pp. 1093-1096, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/ICASSP.2009.4959778, author = {Luciano Sbaiz and Feng Yang and Edoardo Charbon and Sabine Susstrunk and Martin Vetterli}, title = {The gigavision camera}, journal ={Acoustics, Speech, and Signal Processing, IEEE International Conference on}, volume = {0}, year = {2009}, isbn = {978-1-4244-2353-8}, pages = {1093-1096}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICASSP.2009.4959778}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Acoustics, Speech, and Signal Processing, IEEE International Conference on TI - The gigavision camera SN - 978-1-4244-2353-8 SP1093 EP1096 A1 - Luciano Sbaiz, A1 - Feng Yang, A1 - Edoardo Charbon, A1 - Sabine Susstrunk, A1 - Martin Vetterli, PY - 2009 VL - 0 JA - Acoustics, Speech, and Signal Processing, IEEE International Conference on ER - | |||
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 obtained 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.
Citation:
Luciano Sbaiz, Feng Yang, Edoardo Charbon, Sabine Susstrunk, Martin Vetterli, "The gigavision camera," icassp, pp.1093-1096, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
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