Fuzzy Decision Based Median Filter for Removal of Impulse Noise
Kanika Gupta1, Nandita Goyal2
1Dr.Kanika Gupta, Department of Information Technology, ABES Engineering College, Abdul Kalam Technical University, Uttar Pradesh, India.
2Ms. Nandita Goyal, Department of Information Technology, ABES Engineering College, Abdul Kalam Technical University, Uttar Pradesh, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2120-2124 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9671109119/2019©BEIESP | DOI: 10.35940/ijeat.A9671.109119
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© The Authors. 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: This paper presents the advanced fuzzy decision based median filter for removal of impulse noise present in digital images. The digital images are easily gets disturbed by different types of noises and traditional filters are not able to handle all types of noises present in the digital images. The fuzzy approach is adopted to improve the all other traditional median filters to achieve the optimum performance. This can be seen by adjusting the parameters of fuzzy image filter. The two blocks i.e. of original image and noisy image are taken and the third block can be obtained through the product of these two blocks. The final output image which can be seen as a result of taking mean and median of third block. From the point of view of execution time and PSNR ratios, the image filtering results demonstrates the feasibility and effectiveness of the proposed filter.
Keywords: Median Filter, Fuzzy Image Filter , Salt and pepper Noise.