Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images
碩士 === 亞洲大學 === 資訊傳播學系 === 104 === The quality of digital bio-image would be deteriorated by the corruption of impulse noise in the record or transmission. This deterioration causes the difficulties in diagnosis for a doctor. How to efficiently remove this impulse noise for a corrupted bio-image is...
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ndltd-TW-104THMU06760082019-06-27T05:25:59Z http://ndltd.ncl.edu.tw/handle/27ta68 Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images 藉由多數權重與中值濾波法移除醫學影像中之椒鹽雜訊 HUANG, TZU-HSUAN 黃子璇 碩士 亞洲大學 資訊傳播學系 104 The quality of digital bio-image would be deteriorated by the corruption of impulse noise in the record or transmission. This deterioration causes the difficulties in diagnosis for a doctor. How to efficiently remove this impulse noise for a corrupted bio-image is an important research task. This thesis proposes a new method for the removal of salt-and-pepper noise in a noisy bio-image. Initially, a fixed-size local window with small size is employed to analyze each pixel. The fixed-local window and median filtering are employed to restore the center noisy pixel when noise density is low. Conversely, a variable-size window and majority-weighting filtering are utilized to restore the center noisy pixel if noise density is high. Experimental results show that the proposed method can efficiently remove salt-and-pepper noise for a corrupted bio-image in various noise corruption densities, while the denoised image is free from blurred effect. LU, CHING-TA 陸清達 2016 學位論文 ; thesis 72 zh-TW |
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碩士 === 亞洲大學 === 資訊傳播學系 === 104 === The quality of digital bio-image would be deteriorated by the corruption of impulse noise in the record or transmission. This deterioration causes the difficulties in diagnosis for a doctor. How to efficiently remove this impulse noise for a corrupted bio-image is an important research task. This thesis proposes a new method for the removal of salt-and-pepper noise in a noisy bio-image. Initially, a fixed-size local window with small size is employed to analyze each pixel. The fixed-local window and median filtering are employed to restore the center noisy pixel when noise density is low. Conversely, a variable-size window and majority-weighting filtering are utilized to restore the center noisy pixel if noise density is high. Experimental results show that the proposed method can efficiently remove salt-and-pepper noise for a corrupted bio-image in various noise corruption densities, while the denoised image is free from blurred effect.
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LU, CHING-TA |
author_facet |
LU, CHING-TA HUANG, TZU-HSUAN 黃子璇 |
author |
HUANG, TZU-HSUAN 黃子璇 |
spellingShingle |
HUANG, TZU-HSUAN 黃子璇 Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images |
author_sort |
HUANG, TZU-HSUAN |
title |
Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images |
title_short |
Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images |
title_full |
Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images |
title_fullStr |
Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images |
title_full_unstemmed |
Denoising of Salt-and-Pepper Noise Using Majority Weighting and Median Filtering Approach for Bio-images |
title_sort |
denoising of salt-and-pepper noise using majority weighting and median filtering approach for bio-images |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/27ta68 |
work_keys_str_mv |
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