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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Format: | Thesis |
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2008
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Online Access: | http://hdl.handle.net/10356/4510 |
_version_ | 1826124555002839040 |
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author | Koh, Jerry Min Yee. |
author2 | Ma, Kai-Kuang |
author_facet | Ma, Kai-Kuang Koh, Jerry Min Yee. |
author_sort | Koh, Jerry Min Yee. |
collection | NTU |
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. |
first_indexed | 2024-10-01T06:22:15Z |
format | Thesis |
id | ntu-10356/4510 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T06:22:15Z |
publishDate | 2008 |
record_format | dspace |
spelling | ntu-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 |
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 |
title | 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_short | Joint noise detection and median filtering for highly corrupted images |
title_sort | joint noise detection and median filtering for highly corrupted images |
topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing |
url | http://hdl.handle.net/10356/4510 |
work_keys_str_mv | AT kohjerryminyee jointnoisedetectionandmedianfilteringforhighlycorruptedimages |