107,89 €
High Performance CMOS Range Imaging
High Performance CMOS Range Imaging
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High Performance CMOS Range Imaging
High Performance CMOS Range Imaging
El. knyga:
107,89 €
This work is dedicated to CMOS based imaging with the emphasis on the noise modeling, characterization and optimization in order to contribute to the design of high performance imagers in general and range imagers in particular. CMOS is known to be superior to CCD due to its flexibility in terms of integration capabilities, but typically has to be enhanced to compete at parameters as for instance noise, dynamic range or spectral response. This work gathers the widespread theory on noise and ext…
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 262
  • ISBN: 9781315643885
  • ISBN-10: 131564388X
  • ISBN-13: 9781315643885
  • Formatas: ACSM ?
  • Kalba: Anglų

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This work is dedicated to CMOS based imaging with the emphasis on the noise modeling, characterization and optimization in order to contribute to the design of high performance imagers in general and range imagers in particular. CMOS is known to be superior to CCD due to its flexibility in terms of integration capabilities, but typically has to be enhanced to compete at parameters as for instance noise, dynamic range or spectral response. This work gathers the widespread theory on noise and extends the theory by a non-rigorous but potentially computing efficient algorithm to estimate noise in time sampled systems.

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  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 262
  • ISBN: 9781315643885
  • ISBN-10: 131564388X
  • ISBN-13: 9781315643885
  • Formatas: ACSM ?
  • Kalba: Anglų

This work is dedicated to CMOS based imaging with the emphasis on the noise modeling, characterization and optimization in order to contribute to the design of high performance imagers in general and range imagers in particular. CMOS is known to be superior to CCD due to its flexibility in terms of integration capabilities, but typically has to be enhanced to compete at parameters as for instance noise, dynamic range or spectral response. This work gathers the widespread theory on noise and extends the theory by a non-rigorous but potentially computing efficient algorithm to estimate noise in time sampled systems.

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