Iterative truncated linear filter for image noise reduction

The arithmetic mean and the order statistical median filters are two widely used operations in signal and image processing. Both of them have some merits and limitations in noise attenuation and image structure preservation[1]. This project aims to study the properties of iterative truncated mean...

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Main Author: Chen, Xingqiao
Other Authors: Jiang Xudong
Format: Final Year Project
Language:English
Published: 2018
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Online Access:http://hdl.handle.net/10356/75026
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-750262023-07-07T17:57:49Z Iterative truncated linear filter for image noise reduction Chen, Xingqiao Jiang Xudong School of Electrical and Electronic Engineering DRNTU::Engineering The arithmetic mean and the order statistical median filters are two widely used operations in signal and image processing. Both of them have some merits and limitations in noise attenuation and image structure preservation[1]. This project aims to study the properties of iterative truncated mean (ITM) filter which shows some merits of both the fundamental operations, it is able to estimate the median by simple arithmetic computing. This algorithm truncates the extreme values of samples in the filter window to a dynamic threshold, the dynamic truncation thresholds can guarantee the filter output, starting from the mean, to approach the median of the input samples[1].In this project, Matlab and C programming are used to implement the ITM filters, and Matlab programs are used to test their performance. ITM filter, FITM (fast realization) filter and NITM (new method) filter are tested under different conditions such as different noise distribution. Their properties are analyzed and experimentally verified on synthetic data. Bachelor of Engineering 2018-05-27T12:01:39Z 2018-05-27T12:01:39Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75026 en Nanyang Technological University 40 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Chen, Xingqiao
Iterative truncated linear filter for image noise reduction
description The arithmetic mean and the order statistical median filters are two widely used operations in signal and image processing. Both of them have some merits and limitations in noise attenuation and image structure preservation[1]. This project aims to study the properties of iterative truncated mean (ITM) filter which shows some merits of both the fundamental operations, it is able to estimate the median by simple arithmetic computing. This algorithm truncates the extreme values of samples in the filter window to a dynamic threshold, the dynamic truncation thresholds can guarantee the filter output, starting from the mean, to approach the median of the input samples[1].In this project, Matlab and C programming are used to implement the ITM filters, and Matlab programs are used to test their performance. ITM filter, FITM (fast realization) filter and NITM (new method) filter are tested under different conditions such as different noise distribution. Their properties are analyzed and experimentally verified on synthetic data.
author2 Jiang Xudong
author_facet Jiang Xudong
Chen, Xingqiao
format Final Year Project
author Chen, Xingqiao
author_sort Chen, Xingqiao
title Iterative truncated linear filter for image noise reduction
title_short Iterative truncated linear filter for image noise reduction
title_full Iterative truncated linear filter for image noise reduction
title_fullStr Iterative truncated linear filter for image noise reduction
title_full_unstemmed Iterative truncated linear filter for image noise reduction
title_sort iterative truncated linear filter for image noise reduction
publishDate 2018
url http://hdl.handle.net/10356/75026
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