On improving the noise reduction algorithms using image segmentation
On improving the noise reduction algorithms using image segmentation
This paper discusses how a partial segmentation of an image
can be used to enhance the performance of existing wavelet
noise reduction algorithms. It demonstrates that the spatial
decomposition, provided by the segmentation, complements
the frequency based decomposition of the wavelet transform,
leading to better localisation of objects and allowing
improvement of the noise reduction schemes.
501-504
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Baumann, O.
b880dfe2-4467-49ec-9f67-7d7b60b8a39e
DeStefano, A.
b256bc7b-449f-422a-a1bf-4b46b63426da
2004
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Baumann, O.
b880dfe2-4467-49ec-9f67-7d7b60b8a39e
DeStefano, A.
b256bc7b-449f-422a-a1bf-4b46b63426da
White, P.R., Baumann, O. and DeStefano, A.
(2004)
On improving the noise reduction algorithms using image segmentation.
Proceedings of European Signal Processing Conference (EUSIPCO), Vienna, Austria.
05 - 09 Sep 2004.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper discusses how a partial segmentation of an image
can be used to enhance the performance of existing wavelet
noise reduction algorithms. It demonstrates that the spatial
decomposition, provided by the segmentation, complements
the frequency based decomposition of the wavelet transform,
leading to better localisation of objects and allowing
improvement of the noise reduction schemes.
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More information
Published date: 2004
Venue - Dates:
Proceedings of European Signal Processing Conference (EUSIPCO), Vienna, Austria, 2004-09-05 - 2004-09-09
Identifiers
Local EPrints ID: 27984
URI: http://eprints.soton.ac.uk/id/eprint/27984
PURE UUID: 00569cd4-efea-4249-9736-f6250edf99f9
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Date deposited: 02 May 2006
Last modified: 12 Dec 2021 02:40
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Contributors
Author:
O. Baumann
Author:
A. DeStefano
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