A Proposed De-noising Algorithm

Authors

  • Nawafil Abdulwahab Ali P-CS
  • Imad Al Shaikhli

DOI:

https://doi.org/10.31436/ijpcc.v6i2.164

Abstract

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).

Downloads

Published

14-12-2020

How to Cite

Ali, N. A., & Al Shaikhli, I. (2020). A Proposed De-noising Algorithm. International Journal on Perceptive and Cognitive Computing, 6(2), 90–96. https://doi.org/10.31436/ijpcc.v6i2.164