Optimum Median Filter Based on Crow Optimization Algorithm

Authors

Basma Jumaa Saleh, Computer Engineering Department, College of Engineering, Al-Mustansiriyah University, Baghdad, Iraq.Follow
Ahmed Yousif Falih Saedi, Computer Engineering Department, College of Engineering, Al-Mustansiriyah University, Baghdad, Iraq.Follow
Ali Talib Qasim al-Aqbi, Computer Engineering Department, College of Engineering, Al-Mustansiriyah University, Baghdad, Iraq.Follow
Lamees abdalhasan Salman, Computer Engineering Department, College of Engineering, Al-Mustansiriyah University, Baghdad, Iraq.Follow

Abstract

A novel median filter based on crow optimization algorithms (OMF) is suggested to reduce the random salt and pepper noise and improve the quality of the RGB-colored and gray images. The fundamental idea of the approach is that first, the crow optimization algorithm detects noise pixels, and that replacing them with an optimum median value depending on a criterion of maximization fitness function. Finally, the standard measure peak signal-to-noise ratio (PSNR), Structural Similarity, absolute square error and mean square error have been used to test the performance of suggested filters (original and improved median filter) used to removed noise from images. It achieves the simulation based on MATLAB R2019b and the results present that the improved median filter with crow optimization algorithm is more effective than the original median filter algorithm and some recently methods; they show that the suggested process is robust to reduce the error problem and remove noise because of a candidate of the median filter; the results will show by the minimized mean square error to equal or less than (1.38), absolute error to equal or less than (0.22) ,Structural Similarity (SSIM) to equal (0.9856) and getting PSNR more than (46 dB). Thus, the percentage of improvement in work is (25%).

Keywords

Crow optimization algorithm, Image de-noising, Median filter, Peak Signal to Noise Ratio (PSNR), Salt and pepper noise

Article Type

Article

How to Cite this Article

Saleh, Basma Jumaa; Saedi, Ahmed Yousif Falih; al-Aqbi, Ali Talib Qasim; and Salman, Lamees abdalhasan (2021) "Optimum Median Filter Based on Crow Optimization Algorithm," Baghdad Science Journal: Vol. 18: Iss. 3, Article 8.
DOI: https://doi.org/10.21123/bsj.2021.18.3.0614