Joint noise detection and median filtering for highly corrupted images

Images are often corrupted by noise which might inevitably degrade the performance of follow-up image processing tasks. Therefore, noise detection applied before filtering is especially effective. The goal is to extend noise adaptive soft-switching median for denoising corrupted color images.

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Bibliographic Details
Main Author:	Koh, Jerry Min Yee.
Other Authors:	Ma, Kai-Kuang
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:	http://hdl.handle.net/10356/4510
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4510
record_format	dspace
spelling	sg-ntu-dr.10356-45102023-07-04T15:53:11Z Joint noise detection and median filtering for highly corrupted images Koh, Jerry Min Yee. Ma, Kai-Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Images are often corrupted by noise which might inevitably degrade the performance of follow-up image processing tasks. Therefore, noise detection applied before filtering is especially effective. The goal is to extend noise adaptive soft-switching median for denoising corrupted color images. Master of Science (Signal Processing) 2008-09-17T09:52:53Z 2008-09-17T09:52:53Z 2004 2004 Thesis http://hdl.handle.net/10356/4510 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Koh, Jerry Min Yee. Joint noise detection and median filtering for highly corrupted images
description	Images are often corrupted by noise which might inevitably degrade the performance of follow-up image processing tasks. Therefore, noise detection applied before filtering is especially effective. The goal is to extend noise adaptive soft-switching median for denoising corrupted color images.
author2	Ma, Kai-Kuang
author_facet	Ma, Kai-Kuang Koh, Jerry Min Yee.
format	Theses and Dissertations
author	Koh, Jerry Min Yee.
author_sort	Koh, Jerry Min Yee.
title	Joint noise detection and median filtering for highly corrupted images
title_short	Joint noise detection and median filtering for highly corrupted images
title_full	Joint noise detection and median filtering for highly corrupted images
title_fullStr	Joint noise detection and median filtering for highly corrupted images
title_full_unstemmed	Joint noise detection and median filtering for highly corrupted images
title_sort	joint noise detection and median filtering for highly corrupted images
publishDate	2008
url	http://hdl.handle.net/10356/4510
_version_	1772827603171803136

Joint noise detection and median filtering for highly corrupted images

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