Algorithm for Image Processing using Improved Median Filter and Comparison of Mean, Median and Improved Median Filter
Gajanand Gupta, department of electronics and communication, Jaipur Natoanal University, Jaipur, India.
Manuscript received on October 09, 2011. | Revised Manuscript received on October 24, 2011. | Manuscript published on November 05, 2011. | PP: 304-3011 | Volume-1 Issue-5, November 2011. | Retrieval Number: E0234101511/2011©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An improved median filter algorithm is implemented for the de-noising of highly corrupted images and edge preservation. Mean, Median and improved mean filter is used for the noise detection. Fundamental of image processing, image degradation and restoration processes are illustrated. The pictures are corrupted with different noise density and reconstructed. The noise is Gaussian and impulse (salt-and pepper) noise. An algorithm is designed to calculate the PSNR and MSE. The result is discussed for Mean, Median and improved Median filter with different noise density.
Keywords: FILTERS, MATLAB, MSE, PSNR.