  This Paper Analyze the performance of Unsymmetrical trimmed median, which is
used as detector for the detection of impulse noise, Gaussian noise and mixed
noise is proposed. The proposed algorithm uses a fixed 3x3 window for the
increasing noise densities. The pixels in the current window are arranged in
sorting order using a improved snake like sorting algorithm with reduced
comparator. The processed pixel is checked for the occurrence of outliers, if
the absolute difference between processed pixels is greater than fixed
threshold. Under high noise densities the processed pixel is also noisy hence
the median is checked using the above procedure. if found true then the pixel
is considered as noisy hence the corrupted pixel is replaced by the median of
the current processing window. If median is also noisy then replace the
corrupted pixel with unsymmetrical trimmed median else if the pixel is termed
uncorrupted and left unaltered. The proposed algorithm (PA) is tested on
varying detail images for various noises. The proposed algorithm effectively
removes the high density fixed value impulse noise, low density random valued
impulse noise, low density Gaussian noise and lower proportion of mixed noise.
The proposed algorithm is targeted on Xc3e5000-5fg900 FPGA using Xilinx 7.1
compiler version which requires less number of slices, optimum speed and low
power when compared to the other median finding architectures.
