Deconvolution of Astronomical Images using Wiener Deconvolution: Mitigating Ground-Based Telescope Effects and Cosmic Noise

Abstract

This study focuses on the deconvolution of astronomical images employing the Wiener deconvolution method to overcome the challenges posed by the ground-based telescope’s seeing effect and cosmic noise. Utilizing the Hubble Space Telescope, which is free from seeing effects, we intentionally introduce a simulated seeing effect through Airy Point Spread Function (PSF) convolution. Additionally, Gaussian noise is incorporated to emulate cosmic noise commonly encountered in astronomical observations. The proposed deconvolution method is validated using key metrics such as Structural Similarity Index (SSIM), Peak Signal-to-Noise Ratio (PSNR), and Mean Squared Error (MSE). The Hubble Space Telescope’s unique characteristics, combined with the intentional introduction of seeing effects and cosmic noise, contribute to a comprehensive evaluation of the deconvolution process. Our results showcase the efficacy of the Wiener deconvolution method in enhancing the resolution of astronomical images affected by ground-based telescope limitations and cosmic noise. The validation metrics demonstrate the capability of the proposed approach to restore details and improve the overall quality of astronomical imagery. This research offers valuable insights for astronomers and researchers seeking to optimize image processing techniques for enhanced astronomical observations and analyses.