Restoration and Comparisons of Gaussian Blurred-Noisy Image Using Different Filtering Techniques

Aanchal Joseph, Sandeep B. Patil

Abstract: This paper attempts to restore dental image degraded with blur and noise using different de-blurring filters. The image is degraded by the combination of Gaussian blur and Salt & Pepper / Speckle / Poisson / Gaussian noise for different values of PSF. All the degraded images are then restored using Wiener Filter (zero NSR and Estimated NSR), Regularized Filter, Lucy Richardson Filter technique. The restored images are then compared on the basis of PSNR and MSE values. This comparison are made to find which filter technique removes which combination of blur and noise on what value of PSF with high PSNR and low MSE value.

Keywords: Gaussian Blur, PSF Point Spread Function, Wiener Filter, Regularized Filter, Lucy-Richardson method, PSNR, MSE

How to Cite?: Aanchal Joseph, Sandeep B. Patil, "Restoration and Comparisons of Gaussian Blurred-Noisy Image Using Different Filtering Techniques", Volume 4 Issue 4, April 2015, International Journal of Science and Research (IJSR), Pages: 2576-2580, https://www.ijsr.net/getabstract.php?paperid=SUB153745, DOI: https://dx.doi.org/10.21275/SUB153745