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Nightvision Based on a Biological Model

Författare

Redaktör

  • Gabriel Cristobal
  • Laurent Perrinet
  • Matthias Keil

Summary, in English

The colors and contrasts of the nocturnal world are just as rich as those found in the diurnal world. This chapter describes a recent biomimetic advance inspired by the visual systems of nocturnal insects. Since the underlying principles of both animal and camera vision are similar, it is natural to try to mimic the neural processes of nocturnal animals in order to construct efficient computer vision algorithms. The chapter explains both the underlying biological principles and the computer vision approach in detail. It discusses the specific characteristics of different types of noise that are present in digital images and relate them to their biological counterparts. The “dark noise” in photoreceptors is described. This thermal effect is also present in digital sensors and is called dark current noise. In order to produce a digital image, the electrical signal is quantized into a digital signal with a fixed number of bits.

Publiceringsår

2015

Språk

Engelska

Sidor

377-404

Publikation/Tidskrift/Serie

Biologically Inspired Computer Vision: Fundamentals and Applications

Dokumenttyp

Del av eller Kapitel i bok

Förlag

John Wiley & Sons Inc.

Ämne

  • Zoology
  • Mathematics

Nyckelord

  • Computer vision
  • night vision
  • biologically inpired methods

Status

Published

Forskningsgrupp

  • Mathematical Imaging Group
  • Lund Vision Group

ISBN/ISSN/Övrigt

  • ISBN: 9783527412648
  • ISBN: 9783527680863