Fast non-local means with size-adaptive search window
In this study, the authors present a fast non-local means (NLM) image denoising algorithm with size-adaptive search window. On the basis of the edge gradient and direction of the noisy image, the proposed fast scheme divides all the pixels into significant edge, moderate edge or non-edge region, and...
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Format: | Article |
Language: | English |
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Wiley
2016-03-01
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Series: | The Journal of Engineering |
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Online Access: | http://digital-library.theiet.org/content/journals/10.1049/joe.2015.0190 |
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author | Hancheng Yu Min Tan |
author_facet | Hancheng Yu Min Tan |
author_sort | Hancheng Yu |
collection | DOAJ |
description | In this study, the authors present a fast non-local means (NLM) image denoising algorithm with size-adaptive search window. On the basis of the edge gradient and direction of the noisy image, the proposed fast scheme divides all the pixels into significant edge, moderate edge or non-edge region, and the size of the search window for most pixels which belong to non-edge region can be reduced. The proposed fast scheme also adopts different strategies to pre-select similar patches in the search window for efficient NLM denoising. Experimental results show that compared with the standard NLM method, the proposed fast scheme achieves a substantial reduction in computational cost and improvement in the denoising performance, both in terms of visual quality and numerical results. |
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format | Article |
id | doaj.art-264f9ba029de4741a176f9ddd8fc54cc |
institution | Directory Open Access Journal |
issn | 2051-3305 |
language | English |
last_indexed | 2024-12-20T13:47:36Z |
publishDate | 2016-03-01 |
publisher | Wiley |
record_format | Article |
series | The Journal of Engineering |
spelling | doaj.art-264f9ba029de4741a176f9ddd8fc54cc2022-12-21T19:38:37ZengWileyThe Journal of Engineering2051-33052016-03-0110.1049/joe.2015.0190JOE.2015.0190Fast non-local means with size-adaptive search windowHancheng Yu0Min Tan1Nanjing University of Aeronautics and AstronauticsNanjing University of Aeronautics and AstronauticsIn this study, the authors present a fast non-local means (NLM) image denoising algorithm with size-adaptive search window. On the basis of the edge gradient and direction of the noisy image, the proposed fast scheme divides all the pixels into significant edge, moderate edge or non-edge region, and the size of the search window for most pixels which belong to non-edge region can be reduced. The proposed fast scheme also adopts different strategies to pre-select similar patches in the search window for efficient NLM denoising. Experimental results show that compared with the standard NLM method, the proposed fast scheme achieves a substantial reduction in computational cost and improvement in the denoising performance, both in terms of visual quality and numerical results.http://digital-library.theiet.org/content/journals/10.1049/joe.2015.0190image denoisingedge detectionvisual qualitycomputational costnonedge regionnoisy imageedge gradientNLM image denoising algorithmsize-adaptive search windowfast nonlocal means |
spellingShingle | Hancheng Yu Min Tan Fast non-local means with size-adaptive search window The Journal of Engineering image denoising edge detection visual quality computational cost nonedge region noisy image edge gradient NLM image denoising algorithm size-adaptive search window fast nonlocal means |
title | Fast non-local means with size-adaptive search window |
title_full | Fast non-local means with size-adaptive search window |
title_fullStr | Fast non-local means with size-adaptive search window |
title_full_unstemmed | Fast non-local means with size-adaptive search window |
title_short | Fast non-local means with size-adaptive search window |
title_sort | fast non local means with size adaptive search window |
topic | image denoising edge detection visual quality computational cost nonedge region noisy image edge gradient NLM image denoising algorithm size-adaptive search window fast nonlocal means |
url | http://digital-library.theiet.org/content/journals/10.1049/joe.2015.0190 |
work_keys_str_mv | AT hanchengyu fastnonlocalmeanswithsizeadaptivesearchwindow AT mintan fastnonlocalmeanswithsizeadaptivesearchwindow |