An efficient algorithm for removal of impulse noise in color image through efficient modified decision based unsymmetric trimmed median filter

In the world of image processing domain, removal of high density impulse noise is always a prominent area for research. In this paper, an efficient Modified Decision based unsymmetric trimmed median filter algorithms for the removal of impulse noise has been proposed with color images rather than gray scale images by separation red- green- blue plane of color image. The performance of the system is analyzed in terms of Mean square error (MSE), Peak signal to noise ratio (PSNR) image enhancement factor (IEF) and time required for executing the algorithms for different noise densities. Simulation results shows that proposed algorithm outperforms the existing algorithms even at high noise densities for color images. Many experiments are conducted to validate efficiency of the proposed algorithm.