Poisson Denoising for Astronomical Images
Joint Authors
Ghafoor, Abdul
Shamshad, Fahad
Mohsin Riaz, Muhammad
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-10
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shamshad, Fahad& Mohsin Riaz, Muhammad& Ghafoor, Abdul. 2018. Poisson Denoising for Astronomical Images. Advances in Astronomy،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1114216
Modern Language Association (MLA)
Shamshad, Fahad…[et al.]. Poisson Denoising for Astronomical Images. Advances in Astronomy No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1114216
American Medical Association (AMA)
Shamshad, Fahad& Mohsin Riaz, Muhammad& Ghafoor, Abdul. Poisson Denoising for Astronomical Images. Advances in Astronomy. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1114216
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1114216
