Image and video noise: An industry perspective

Perry, S

Image and video noise: An industry perspective

Perry, S

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Publication Type:: Chapter
Citation:: Advances in Computer Vision and Pattern Recognition, 2018, pp. 207 - 234
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Perry, S https://orcid.org/0000-0002-2794-3178	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Advances in Computer Vision and Pattern Recognition, 2018, pp. 207 - 234	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132795
dc.description.abstract	© Springer International Publishing AG, part of Springer Nature 2018. Images and video are increasingly becoming a part of our everyday lives and with this growth, we find an increasing number of industrial and commercial applications of imagery. In this chapter, we will examine the problem of image noise from an industrial and commercial viewpoint. We will consider how noise enters the imaging chain in these settings and how noise is measured and quantified for later removal. We will also discuss standards and standardisation activities that relate to noise measurement in a commercial or industrial setting.	en_US
dc.relation.ispartof	Advances in Computer Vision and Pattern Recognition	en_US
dc.relation.isbasedon	10.1007/978-3-319-96029-6_8	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Image and video noise: An industry perspective	en_US
dc.type	Chapter
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© Springer International Publishing AG, part of Springer Nature 2018. Images and video are increasingly becoming a part of our everyday lives and with this growth, we find an increasing number of industrial and commercial applications of imagery. In this chapter, we will examine the problem of image noise from an industrial and commercial viewpoint. We will consider how noise enters the imaging chain in these settings and how noise is measured and quantified for later removal. We will also discuss standards and standardisation activities that relate to noise measurement in a commercial or industrial setting.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/132795