Nightvision Based on a Biological Model
Oskarsson, Magnus LU
; Malm, Henrik
and Warrant, Eric
LU
(2015)
p.377-404
- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8519267
- author
- Oskarsson, Magnus
LU
; Malm, Henrik
and Warrant, Eric
LU
- organization
- publishing date
- 2015
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Computer vision, night vision, biologically inpired methods
- host publication
- Biologically Inspired Computer Vision: Fundamentals and Applications
- editor
- Cristobal, Gabriel ; Perrinet, Laurent and Keil, Matthias
- pages
- 377 - 404
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:84950107362
- ISBN
- 9783527412648
- 9783527680863
- DOI
- 10.1002/9783527680863.ch16
- language
- English
- LU publication?
- yes
- id
- 1bc46c59-a1d6-4aee-9948-186d574e0ca4 (old id 8519267)
- date added to LUP
- 2016-04-04 11:27:24
- date last changed
- 2022-05-01 21:32:59
@inbook{1bc46c59-a1d6-4aee-9948-186d574e0ca4,
abstract = {{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.}},
author = {{Oskarsson, Magnus and Malm, Henrik and Warrant, Eric}},
booktitle = {{Biologically Inspired Computer Vision: Fundamentals and Applications}},
editor = {{Cristobal, Gabriel and Perrinet, Laurent and Keil, Matthias}},
isbn = {{9783527412648}},
keywords = {{Computer vision; night vision; biologically inpired methods}},
language = {{eng}},
pages = {{377--404}},
publisher = {{John Wiley & Sons Inc.}},
title = {{Nightvision Based on a Biological Model}},
url = {{http://dx.doi.org/10.1002/9783527680863.ch16}},
doi = {{10.1002/9783527680863.ch16}},
year = {{2015}},
}