  Noise is a major issue while transferring images through all kinds of
electronic communication. One of the most common noise in electronic
communication is an impulse noise which is caused by unstable voltage. In this
paper, the comparison of known image denoising techniques is discussed and a
new technique using the decision based approach has been used for the removal
of impulse noise. All these methods can primarily preserve image details while
suppressing impulsive noise. The principle of these techniques is at first
introduced and then analysed with various simulation results using MATLAB. Most
of the previously known techniques are applicable for the denoising of images
corrupted with less noise density. Here a new decision based technique has been
presented which shows better performances than those already being used. The
comparisons are made based on visual appreciation and further quantitatively by
Mean Square error (MSE) and Peak Signal to Noise Ratio (PSNR) of different
filtered images..
