Optimum Median Filter Based on Crow Optimization Algorithm

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