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Processing primitives for image simplification

  • Jorge Fernández-BerniEmail author
  • Ricardo Carmona-Galán
  • Ángel Rodríguez-Vázquez
Chapter
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Abstract

We have already seen in Chap. 2 that the simplification of the scene is a key issue when it comes to save energy in vision-enabled WSN nodes. It permits to reduce the clock speed of the digital processor as well as the number of memory accesses, two important parameters concerning the power consumption of the nodes. Obviously, the energy cost of obtaining a simplified version of the scene and processing it must be lower than the energy cost of directly processing the raw representation of the scene. Therefore, it does not suffice to define image processing primitives capable of achieving such simplification. Their hardware implementation also plays a crucial role in order to reach a really high degree of energy efficiency.

Keywords

Scale Space Linear Diffusion Gaussian Pyramid Digital Processor Multiresolution Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Jorge Fernández-Berni
    • 1
    Email author
  • Ricardo Carmona-Galán
    • 1
  • Ángel Rodríguez-Vázquez
    • 1
  1. 1.Universidad de SevillaInstituto de Microelectrónica de Sevilla (CNM-CSIC)SevilleSpain

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