A non-linear image denoising method for salt-&-pepper noise removal using Fuzzy-Based approach

The paper proposes an Improved Fuzzy-Based Decision Algorithm (IFBDA) for the restoration of images that are highly corrupted by Salt-and-Pepper noise. The new algorithm utilizes a modified version of the detection phase of FBDA to get better image quality than the existing algorithm. The proposed algorithm produces better result than the conventional and other advanced fuzzy-based non-linear filters. Different images have been tested by using the proposed algorithm (IFBDA) and found to produce better Peak-Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Image Enhancement Factor (IEF) and Image Quality Index (IQI) values.