Noise removal using smoothed normals and surface fitting

Noise removal using smoothed normals and surface fitting

In this work, we use partial differential equation techniques to remove noise from digital images. The removal is done in two steps.We first use a total-variation filter to smooth the normal vectors of the level curves of a noise image. After this, we try to find a surfac...

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Bibliographic Details
Main Authors: Lysaker, Marius, Osher, Stanley, Tai, Xue Cheng
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2009
Subjects:
DRNTU::Science::Mathematics::Applied mathematics::Numerical analysis
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/91598
http://hdl.handle.net/10220/4598
http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:EVII&id=doi:10.1109/TIP.2004.834662&genre=&isbn=&issn=10577149&date=2004&volume=13&issue=10&spage=1345&epage=1357&aulast=Lysaker&aufirst=%20Marius&auinit=&title=IEEE%20Transactions%20on%20Image%20Processing&atitle=Noise%20removal%20using%20smoothed%20normals%20and%20surface%20fitting

Internet

https://hdl.handle.net/10356/91598
http://hdl.handle.net/10220/4598
http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:EVII&id=doi:10.1109/TIP.2004.834662&genre=&isbn=&issn=10577149&date=2004&volume=13&issue=10&spage=1345&epage=1357&aulast=Lysaker&aufirst=%20Marius&auinit=&title=IEEE%20Transactions%20on%20Image%20Processing&atitle=Noise%20removal%20using%20smoothed%20normals%20and%20surface%20fitting

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