A comparison between PCA and some enhancement filters for denoising astronomical images

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Raaid N. Hassan

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.

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A comparison between PCA and some enhancement filters for denoising astronomical images. IJP [Internet]. 2019 Feb. 20 [cited 2024 Mar. 29];11(22):82-9. Available from: https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/356
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How to Cite

1.
A comparison between PCA and some enhancement filters for denoising astronomical images. IJP [Internet]. 2019 Feb. 20 [cited 2024 Mar. 29];11(22):82-9. Available from: https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/356

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