Open AccessUse Case for Computational Imaging
Author(s) -
Kamm Markus
Publication year - 2016
Publication title -
optik & photonik
Language(s) - English
Resource type - Journals
eISSN - 2191-1975
pISSN - 1863-1460
DOI - 10.1002/opph.201600031
Subject(s) - depth of field , object (grammar) , computational photography , computer vision , computer science , field (mathematics) , photography , artificial intelligence , field of view , range (aeronautics) , automotive industry , image (mathematics) , focal length , computer graphics (images) , optics , mathematics , image processing , physics , engineering , lens (geology) , art , visual arts , aerospace engineering , pure mathematics , thermodynamics
Optical imaging systems create a sharp image of an object only within a certain depth range, called depth of field (DoF). Whereas a narrow DoF is often desired in photography, e.g. for highlighting a foreground object against the background, it is unwanted in cases where the entire scene needs to be controlled, such as in medical, industrial or automotive imaging. In this article, I will explain how the focal length and f‐number affect the depth of field and I will introduce two methods for extending the depth of field.