Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach
Summary :
A digital image is often deteriorated by impulse noise that may occur during processes such as transmission. An impulse noise converts the pixel data in the image into black (0) or white (255) values at a random frequency and is also called salt-and-pepper noise. In this paper, we identify the details of pixels that have been damaged by impulse noise by analyzing the frequency of the noisy image using non-harmonic analysis (NHA). From experimental results, we can confirm that this method shows superior performance compared to the recent PSNR denoising method. In addition, we show that the proposed method is particularly superior in eliminating impulse noise in images with high noise rates.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.5 pp.1097-1105
- Publication Date
- 2017/05/01
- Publicized
- 2017/01/24
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDP7393
- Type of Manuscript
- PAPER
- Category
- Image Processing and Video Processing
Authors
Masaya HASEGAWA
University of Toyama
Kazuki SAKASHITA
University of Toyama
Kousei UCHIKOSHI
University of Toyama
Shigeki HIROBAYASHI
University of Toyama
Tadanobu MISAWA
University of Toyama
Keyword
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Masaya HASEGAWA, Kazuki SAKASHITA, Kousei UCHIKOSHI, Shigeki HIROBAYASHI, Tadanobu MISAWA, "Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 5, pp. 1097-1105, May 2017, doi: 10.1587/transinf.2016EDP7393.
Abstract: A digital image is often deteriorated by impulse noise that may occur during processes such as transmission. An impulse noise converts the pixel data in the image into black (0) or white (255) values at a random frequency and is also called salt-and-pepper noise. In this paper, we identify the details of pixels that have been damaged by impulse noise by analyzing the frequency of the noisy image using non-harmonic analysis (NHA). From experimental results, we can confirm that this method shows superior performance compared to the recent PSNR denoising method. In addition, we show that the proposed method is particularly superior in eliminating impulse noise in images with high noise rates.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDP7393/_p
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@ARTICLE{e100-d_5_1097,
author={Masaya HASEGAWA, Kazuki SAKASHITA, Kousei UCHIKOSHI, Shigeki HIROBAYASHI, Tadanobu MISAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach},
year={2017},
volume={E100-D},
number={5},
pages={1097-1105},
abstract={A digital image is often deteriorated by impulse noise that may occur during processes such as transmission. An impulse noise converts the pixel data in the image into black (0) or white (255) values at a random frequency and is also called salt-and-pepper noise. In this paper, we identify the details of pixels that have been damaged by impulse noise by analyzing the frequency of the noisy image using non-harmonic analysis (NHA). From experimental results, we can confirm that this method shows superior performance compared to the recent PSNR denoising method. In addition, we show that the proposed method is particularly superior in eliminating impulse noise in images with high noise rates.},
keywords={},
doi={10.1587/transinf.2016EDP7393},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach
T2 - IEICE TRANSACTIONS on Information
SP - 1097
EP - 1105
AU - Masaya HASEGAWA
AU - Kazuki SAKASHITA
AU - Kousei UCHIKOSHI
AU - Shigeki HIROBAYASHI
AU - Tadanobu MISAWA
PY - 2017
DO - 10.1587/transinf.2016EDP7393
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2017
AB - A digital image is often deteriorated by impulse noise that may occur during processes such as transmission. An impulse noise converts the pixel data in the image into black (0) or white (255) values at a random frequency and is also called salt-and-pepper noise. In this paper, we identify the details of pixels that have been damaged by impulse noise by analyzing the frequency of the noisy image using non-harmonic analysis (NHA). From experimental results, we can confirm that this method shows superior performance compared to the recent PSNR denoising method. In addition, we show that the proposed method is particularly superior in eliminating impulse noise in images with high noise rates.
ER -
English
