A DENOISING OF BIOMEDICAL IMAGES
Today imaging science has an important development and has many applications in different fields of life. The researched object of imaging science is digital image that can be created by many digital devices. Biomedical image is one of types of digital images. One of the limits of using digital devi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-05-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W6/73/2015/isprsarchives-XL-5-W6-73-2015.pdf |
| _version_ | 1818524602966474752 |
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| author | D. N. H. Thanh S. D. Dvoenko |
| author_facet | D. N. H. Thanh S. D. Dvoenko |
| author_sort | D. N. H. Thanh |
| collection | DOAJ |
| description | Today imaging science has an important development and has many applications in different fields of life. The researched object of
imaging science is digital image that can be created by many digital devices. Biomedical image is one of types of digital images. One
of the limits of using digital devices to create digital images is noise. Noise reduces the image quality. It appears in almost types of
images, including biomedical images too. The type of noise in this case can be considered as combination of Gaussian and Poisson
noises. In this paper we propose method to remove noise by using total variation. Our method is developed with the goal to combine
two famous models: ROF for removing Gaussian noise and modified ROF for removing Poisson noise. As a result, our proposed
method can be also applied to remove Gaussian or Poisson noise separately. The proposed method can be applied in two cases: with
given parameters (generated noise for artificial images) or automatically evaluated parameters (unknown noise for real images). |
| first_indexed | 2024-12-11T05:59:14Z |
| format | Article |
| id | doaj.art-acde59c1144942ae9e28936fd0e0f44f |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-11T05:59:14Z |
| publishDate | 2015-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-acde59c1144942ae9e28936fd0e0f44f2022-12-22T01:18:33ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-05-01XL-5/W6737810.5194/isprsarchives-XL-5-W6-73-2015A DENOISING OF BIOMEDICAL IMAGESD. N. H. Thanh0S. D. Dvoenko1Tula State University, Institute of Applied Mathematics and Computer Sciences, Lenin ave. 92 Tula city, Russian FederationTula State University, Institute of Applied Mathematics and Computer Sciences, Lenin ave. 92 Tula city, Russian FederationToday imaging science has an important development and has many applications in different fields of life. The researched object of imaging science is digital image that can be created by many digital devices. Biomedical image is one of types of digital images. One of the limits of using digital devices to create digital images is noise. Noise reduces the image quality. It appears in almost types of images, including biomedical images too. The type of noise in this case can be considered as combination of Gaussian and Poisson noises. In this paper we propose method to remove noise by using total variation. Our method is developed with the goal to combine two famous models: ROF for removing Gaussian noise and modified ROF for removing Poisson noise. As a result, our proposed method can be also applied to remove Gaussian or Poisson noise separately. The proposed method can be applied in two cases: with given parameters (generated noise for artificial images) or automatically evaluated parameters (unknown noise for real images).http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W6/73/2015/isprsarchives-XL-5-W6-73-2015.pdf |
| spellingShingle | D. N. H. Thanh S. D. Dvoenko A DENOISING OF BIOMEDICAL IMAGES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A DENOISING OF BIOMEDICAL IMAGES |
| title_full | A DENOISING OF BIOMEDICAL IMAGES |
| title_fullStr | A DENOISING OF BIOMEDICAL IMAGES |
| title_full_unstemmed | A DENOISING OF BIOMEDICAL IMAGES |
| title_short | A DENOISING OF BIOMEDICAL IMAGES |
| title_sort | denoising of biomedical images |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W6/73/2015/isprsarchives-XL-5-W6-73-2015.pdf |
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