Open AccessProposed De-noising Algorithm
Author(s) -
Nawafil Abdulwahab Farajalla Ali,
Imad Al Shaikhli
Publication year - 2020
Publication title -
international journal on perceptive and cognitive computing
Language(s) - English
Resource type - Journals
ISSN - 2462-229X
DOI - 10.31436/ijpcc.v6i2.164
Subject(s) - median filter , salt and pepper noise , algorithm , computer science , filter (signal processing) , grayscale , artificial intelligence , peak signal to noise ratio , pixel , gaussian filter , speckle noise , computer vision , noise (video) , pattern recognition (psychology) , speckle pattern , image (mathematics) , image processing
minimizing noises from images to restore it and increase its quality is a crucial step. For this, an efficient algorithms were proposed to remove noises such as (salt pepper, Gaussian, and speckle) noises from grayscale images. The algorithm did that by selecting a window measuring 3x3 as the center of processing pixels, other algorithms did that by using median filter (MF), adopted median filter (AMF), adopted weighted filter (AWF), and the adopted weighted median filter (AWMF). The results showed that the proposed algorithm compares to previous algorithms by having a better signal-to-noise ratio (PSNR).