Design and analysis of an image restoration using wiener filter with a quality based hybrid algorithms

Abstract

An adaptive wiener filter design method is presented using quality based hybrid algorithms. The proposed method restore degraded image using Wiener filter with Gradient based smoothing and Median filter with an adaption of Bilateral filter for edge preserving and Guided filter for reducing staircase effect and gradient reversal. Using this method, clear images are obtained from degraded images without increasing noise, ringing artifacts and halo effect. Experimental results show that the proposed method improves image quality, provide image compression, and improvement in parameters like PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error) and SSIM (Structure Similarity Index Measurement) as compared to conventional method.