Poisson Denoising for Astronomical Images

被引:1
|
作者
Shamshad, Fahad [1 ]
Riaz, M. Mohsin [2 ]
Ghafoor, Abdul [1 ]
机构
[1] Natl Univ Sci & Technol, Mil Coll Signals, Islamabad, Pakistan
[2] COMSATS Islamabad, Ctr Adv Studies Telecommun, Islamabad, Pakistan
关键词
D O I
10.1155/2018/2417939
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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.
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页数:7
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