Noise is a big issue in the electronic communication while transferring images. One of the most common noise in electronic communication is an impulse noise which is caused by unstable voltage. In this paper, the performance comparison of moon image with different denoising techniques is discussed 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 analyzed with various simulation results using MATLAB. Most of the previously known techniques are applicable for the denoising of images corrupted with less noise density. The comparisons are made based on visual appreciation and further quantitatively by Structural Similarity Index (SSIM)) and Peak Signal to Noise Ratio (PSNR) of moon image with different noise level.

Index TermsPSNR; MSE; Median Filter;  Adaptive filter;  Image processing with grey scale images;


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Vikas.K, Yahwanth.A, Gokulakrishnan.B
UG Scholars, Electrical & Electronics Engineering Department
Dr. Mahalingam College of Engineering & Technology,
Pollachi, India.