Advertisement

FLIP-Q: A QCIF Resolution Focal-Plane Array for Low-Power Image Processing

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

Abstract

The vision processing chain is usually divided into three consecutive steps (González andWoods 2002): (i) low-level tasks, where both inputs and outputs are images, (ii) medium-level tasks, where inputs are images but outputs are attributes extracted from inputs and (iii) high-level tasks, which perform the cognitive functions associated to vision from the result of low- and medium-level tasks. The most remarkable features of low-level tasks are, as we saw in Chap. 2, their regularity and potential parallelism. All pixels are equally processed and the result of the processing over each pixel is usually independent from the result of the computations over the rest.

Keywords

Power Consumption Focal Plane Scale Space Salient Region Single Instruction Multiple Data 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

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

Personalised recommendations