Edge Preserving Fuzzy Filter for Suppression of Impulse Noise in Images
Isha Singh1, Om Prakash Verma2
1Isha singh is currently persuing PhD from Delhi Technological University and received Mtech (Information Systems) from Delhi Technological University Delhi, India.
1Prof Om Prakash Verma, HOD of Computer Sceience and engineering and Information Technology at Delhi Technological University, Delhi, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1627-1633 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8209088619/2019©BEIESP | DOI: 10.35940/ijeat.F8209.088619
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Impulse noise in images culminates to the loss of valuable information. This paper proposes an efficient fuzzy filter for suppression of impulse noise in images (EFFSIN). Firstly, impulse noise is effectively detected by the proposed algorithm with the utilization of Fuzzy C-Means (FCM) in two stages. Only legitimate pixels are restored after fair distiction of noisy pixel from edge pixel. Proper restoration of noisy pixel following effective detection by proposed work leads to low miss detection(MD) and false alarm (FA) rates. Simulation results depict the efficacy of the proposed filter with reference to peak-signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM).
Keywords: Impulse noise, Fuzzy filter, Noise supression, Peak signal to noise ratio.