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A comparison between PCA and some enhancement filters for denoising astronomical images | ||
| Iraqi Journal of Physics | ||
| Article 1, Volume 11, Issue 22, 2013, Pages 82-92 | ||
| Authors | ||
| Raaid N. Hassan; Loay K. Abood | ||
| Abstract | ||
| This paper includes a comparison between denoising techniques by using statistical approach, principal component analysis with local pixel grouping (PCA-LPG), this procedure is iterated second time to further improve the denoising performance, and other enhancement filters were used. Like adaptive Wiener low pass-filter to a grayscale image that has been degraded by constant power additive noise, based on statistics estimated from a local neighborhood of each pixel. Performs Median filter of the input noisy image, each output pixel contains the Median value in the M-by-N neighborhood around the corresponding pixel in the input image, Gaussian low pass-filter and Order-statistic filter also be used. Experimental results shows LPG-PCA method gives better performance, especially in image fine structure preservation, compared with other general denoising algorithms. | ||
| Keywords | ||
| Principal Component Analysis; local pixel grouping; Wiener filter; Median filter; Gaussian filter; order; statistic filter; Structural Similarity | ||
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