Restoring Degraded Astronomy Images using a Combination of Denoising and Deblurring Techniques

The aim of image restoration is to restore the image affected by degradations to the most desired form. It comprises a set of techniques applied to the degraded image to remove or reduce the cause of degradations. This study focuses on Astronomy images. Astronomy images suffer from mainly two types of degradations: atmospheric turbulence blur and additive white Gaussian noise. This study presents a new method to restore astronomy images by proposing a hybrid method that combines three techniques to restore a degraded image. The first technique is phase preserving algorithm used for the denoising operation. Then a normalization operation is employed to provide the image its natural grayscale intensity. After that Richardson Lucy deblurring algorithm is used to deblur the image depending on the Point Spreading Function (PSF) determined earlier. When the deblurring process is completed, the anticipated image will be in the most desirable form.

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