Poisson Denoising for Astronomical Images
A denoising scheme for astronomical color images/videos corrupted with Poisson noise is proposed. The scheme employs the concept of Exponential Principal Component Analysis and sparsity of image patches. The color space RGB is converted to YCbCr and K-means++ clustering is applied on luminance compo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Advances in Astronomy |
| Online Access: | http://dx.doi.org/10.1155/2018/2417939 |
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| _version_ | 1832545915068481536 |
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| author | Fahad Shamshad M. Mohsin Riaz Abdul Ghafoor |
| author_facet | Fahad Shamshad M. Mohsin Riaz Abdul Ghafoor |
| author_sort | Fahad Shamshad |
| collection | DOAJ |
| description | A denoising scheme for astronomical color images/videos corrupted with Poisson noise is proposed. The scheme employs the concept of Exponential Principal Component Analysis and sparsity of image patches. The color space RGB is converted to YCbCr and K-means++ clustering is applied on luminance component only. The cluster centers are used for chromatic components to improve the computational efficiency. For videos, the information of both spatial and temporal correlations improves the denoising. Simulation results verify the significance of proposed scheme in both visual and quantitative manner. |
| format | Article |
| id | doaj-art-4439018d384d4c9fac0673349d4faf3d |
| institution | Kabale University |
| issn | 1687-7969 1687-7977 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Astronomy |
| spelling | doaj-art-4439018d384d4c9fac0673349d4faf3d2025-02-03T07:24:20ZengWileyAdvances in Astronomy1687-79691687-79772018-01-01201810.1155/2018/24179392417939Poisson Denoising for Astronomical ImagesFahad Shamshad0M. Mohsin Riaz1Abdul Ghafoor2Military College of Signals, National University of Sciences and Technology, PakistanCenter for Advanced Studies in Telecommunication, COMSATS Islamabad, PakistanMilitary College of Signals, National University of Sciences and Technology, PakistanA denoising scheme for astronomical color images/videos corrupted with Poisson noise is proposed. The scheme employs the concept of Exponential Principal Component Analysis and sparsity of image patches. The color space RGB is converted to YCbCr and K-means++ clustering is applied on luminance component only. The cluster centers are used for chromatic components to improve the computational efficiency. For videos, the information of both spatial and temporal correlations improves the denoising. Simulation results verify the significance of proposed scheme in both visual and quantitative manner.http://dx.doi.org/10.1155/2018/2417939 |
| spellingShingle | Fahad Shamshad M. Mohsin Riaz Abdul Ghafoor Poisson Denoising for Astronomical Images Advances in Astronomy |
| title | Poisson Denoising for Astronomical Images |
| title_full | Poisson Denoising for Astronomical Images |
| title_fullStr | Poisson Denoising for Astronomical Images |
| title_full_unstemmed | Poisson Denoising for Astronomical Images |
| title_short | Poisson Denoising for Astronomical Images |
| title_sort | poisson denoising for astronomical images |
| url | http://dx.doi.org/10.1155/2018/2417939 |
| work_keys_str_mv | AT fahadshamshad poissondenoisingforastronomicalimages AT mmohsinriaz poissondenoisingforastronomicalimages AT abdulghafoor poissondenoisingforastronomicalimages |