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Multimedia Tools and Applications

, Volume 60, Issue 3, pp 551–571

First Online: 14 June 2011

Abstract

In this paper, we propose an image filtering technique based on fuzzy logic control to remove impulse noise for low as well as highly corrupted images. The proposed method is based on noise detection, noise removal and edge preservation modules. The main advantage of the proposed technique over the other filtering techniques is its superior noise removal as well as detail preserving capability. Based on the criteria of peak-signal-to-noise-ratio PSNR, mean square error MSE, structural similarity index measure SSIM and subjective evaluation measure we have found experimentally that the proposed method provides much better performance than the state-of-the-art filters. To analyze the detail preservation capability of the proposed filter sensitivity analysis is performed by changing the detail preservation module to see its effects on the details texture and edge information of resultant image. This sensitivity analysis proves experimentally that significant image details have been preserved by the proposed method.

KeywordsImage restoration Impulse noise Fuzzy filter Fuzzy logic control Structure similarity index Fuzzy decision  Download fulltext PDF



Author: Ayyaz Hussain - Sohail Masood Bhatti - M. Arfan Jaffar

Source: https://link.springer.com/







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