Title :
Removal of High Density Salt and Pepper Noise Through Modified Decision Based Unsymmetric Trimmed Median Filter
Author :
Esakkirajan, S. ; Veerakumar, T. ; Subramanyam, Adabala N. ; Chand, Prem C H
Author_Institution :
Dept. of Instrum. & Control Syst. Eng., PSG Coll. of Technol., Coimbatore, India
fDate :
5/1/2011 12:00:00 AM
Abstract :
A modified decision based unsymmetrical trimmed median filter algorithm for the restoration of gray scale, and color images that are highly corrupted by salt and pepper noise is proposed in this paper. The proposed algorithm replaces the noisy pixel by trimmed median value when other pixel values, 0´s and 255´s are present in the selected window and when all the pixel values are 0´s and 255´s then the noise pixel is replaced by mean value of all the elements present in the selected window. This proposed algorithm shows better results than the Standard Median Filter (MF), Decision Based Algorithm (DBA), Modified Decision Based Algorithm (MDBA), and Progressive Switched Median Filter (PSMF). The proposed algorithm is tested against different grayscale and color images and it gives better Peak Signal-to-Noise Ratio (PSNR) and Image Enhancement Factor (IEF).
Keywords :
image colour analysis; image denoising; image enhancement; image restoration; median filters; IEF; MDBA; PSMF; PSNR; color image restoration; gray scale restoration; high density salt noise removal; image enhancement factor; modified decision based algorithm; modified decision based unsymmetric trimmed median filter; peak signal-to-noise ratio; pepper noise removal; progressive switched median filter; trimmed median value; Filtering algorithms; Image edge detection; Materials; Noise measurement; PSNR; Pixel; Median filter; salt and pepper noise; unsymmetrical trimmed median filter;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2011.2122333
