Noise level estimation for digital images using local statistics and its applications to noise removal
In this paper, an automatic estimation of additive white Gaussian noise technique is proposed.This technique is built according to the local statistics of Gaussian noise. In the field of digital signal processing, estimation of the noise is considered as pivotal process that many signal p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universitas Ahmad Dahlan and Institute of Advanced Engineering and Science
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/75085/ http://psasir.upm.edu.my/id/eprint/75085/1/Noise%20level.pdf |
| _version_ | 1848857600461897728 |
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| author | Khmag, Asem Ghoul, Sami Al-Haddad, Syed Abdul Rahman Kamarudin, Noraziahtulhidayu |
| author_facet | Khmag, Asem Ghoul, Sami Al-Haddad, Syed Abdul Rahman Kamarudin, Noraziahtulhidayu |
| author_sort | Khmag, Asem |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this paper, an automatic estimation of additive white Gaussian noise technique is proposed.This technique is built according to the local statistics of Gaussian noise. In the field of digital signal processing, estimation of the noise is considered as pivotal process that many signal processing tasks relies on. The main aim of this paper is to design a patch-b ased estimation technique in order to estimate the noise level in natural images and use it in blind image removal technique. The estimation processes is utilized selected patches which is most contaminated sub-pixels in the tested images sing principal component analysis (PCA). The performance of the suggested noise level estimation technique is shown its superior to state of the art noise estimation and noise removal algorithms, the proposed algorithm produces the best performance in most cases compared with the investigated techniques in terms of PSNR, IQI and the visual perception. |
| first_indexed | 2025-11-15T12:00:08Z |
| format | Article |
| id | upm-75085 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:00:08Z |
| publishDate | 2018 |
| publisher | Universitas Ahmad Dahlan and Institute of Advanced Engineering and Science |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-750852019-12-06T01:18:05Z http://psasir.upm.edu.my/id/eprint/75085/ Noise level estimation for digital images using local statistics and its applications to noise removal Khmag, Asem Ghoul, Sami Al-Haddad, Syed Abdul Rahman Kamarudin, Noraziahtulhidayu In this paper, an automatic estimation of additive white Gaussian noise technique is proposed.This technique is built according to the local statistics of Gaussian noise. In the field of digital signal processing, estimation of the noise is considered as pivotal process that many signal processing tasks relies on. The main aim of this paper is to design a patch-b ased estimation technique in order to estimate the noise level in natural images and use it in blind image removal technique. The estimation processes is utilized selected patches which is most contaminated sub-pixels in the tested images sing principal component analysis (PCA). The performance of the suggested noise level estimation technique is shown its superior to state of the art noise estimation and noise removal algorithms, the proposed algorithm produces the best performance in most cases compared with the investigated techniques in terms of PSNR, IQI and the visual perception. Universitas Ahmad Dahlan and Institute of Advanced Engineering and Science 2018-04 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/75085/1/Noise%20level.pdf Khmag, Asem and Ghoul, Sami and Al-Haddad, Syed Abdul Rahman and Kamarudin, Noraziahtulhidayu (2018) Noise level estimation for digital images using local statistics and its applications to noise removal. TELKOMNIKA (Telecommunication, Computing, Electronics and Control), 16 (2). 915 - 924. ISSN 1693-6930; ESSN: 2302-9293 http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/9060 10.12928/TELKOMNIKA.v16i2.9060 |
| spellingShingle | Khmag, Asem Ghoul, Sami Al-Haddad, Syed Abdul Rahman Kamarudin, Noraziahtulhidayu Noise level estimation for digital images using local statistics and its applications to noise removal |
| title | Noise level estimation for digital images using local statistics and its applications to noise removal |
| title_full | Noise level estimation for digital images using local statistics and its applications to noise removal |
| title_fullStr | Noise level estimation for digital images using local statistics and its applications to noise removal |
| title_full_unstemmed | Noise level estimation for digital images using local statistics and its applications to noise removal |
| title_short | Noise level estimation for digital images using local statistics and its applications to noise removal |
| title_sort | noise level estimation for digital images using local statistics and its applications to noise removal |
| url | http://psasir.upm.edu.my/id/eprint/75085/ http://psasir.upm.edu.my/id/eprint/75085/ http://psasir.upm.edu.my/id/eprint/75085/ http://psasir.upm.edu.my/id/eprint/75085/1/Noise%20level.pdf |