The International Arab Journal of Information Technology (IAJIT)


AnAdaptiveWeighted Fuzzy Mean Filter Based on Cloud Model

This research proposes anAdaptive Weighted Fuzzy Mean Filter(AWFMF)basedonCloud Model (CM)to remove the saltandpepper noise in the digital images. Also,the performance of the proposed filter is compared with existing variants of median and switching filters using peak signal to noise ratio(PSNR)and quality index.The proposed filter is able to remove saltandpepper noise even at 90% noiselevel with good detail preservation.

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[22]Zhou Z., Cognition and Removal of Impulse Noise with Uncertainty, IEEE Transactions on Image Processing,vol. 21, no. 7, pp. 3157-3167, 2012. Kannan Kanagarajreceived his PhD Degree in the area of Digital Image Processing from Manonmaniam Sundaranar University in the year 2014. He received his Master of Engineering Degree in Industrial Engineering from Anna University and Bachelor of Engineering Degree in Electronics and Communication Engineering from Madurai Kamaraj University. He is in the field of teaching since 1999. At present, he is an Associate Professor in the department of Mechanical Engineering of Kamaraj College of Engineering and Technology, Virudhunagar. His area of interest includes Signal Processing, Image Processing, Embedded System and RTOS. He published many technical papers in NationalandInternational JournalsandConferences. He is a life member of ISTE, IETE, BES, IAE and IACSIT.