K. Kannan

Work place: Department of Mechanical Engineering, Kamaraj College of Engineering and Technology, Virudhunagar -626001, India

E-mail: kannan_kcet@yahoo.co.in


Research Interests: Database Management System, Image Processing, Image Manipulation, Image Compression, Embedded System


Kannan received the Bachelor of Engineering Degree in Electronics and Communication Engineering from Madurai Kamaraj University in the year 1992. Also, he received Master of Engineering Degree in Industrial Engineering Degree from Anna University in the year 2004. Currently he is doing his Ph.D in the area of Digital Image Processing. He has more than fourteen years of teaching experience and currently working as 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. So far he published more than fifty technical papers in national and international journals and conferences. He is a life member of ISTE, IETE, BES and IACSIT.

Author Articles
A new Decision Based Median Filter using Cloud Model for the removal of high density Salt and Pepper noise in digital color images

By K. Kannan

DOI: https://doi.org/10.5815/ijigsp.2014.04.06, Pub. Date: 8 Mar. 2014

Removing the noise from digital color images plays a vital role in many of the image processing applications. Salt and Pepper noise is one type of the impulse noise which corrupts images during image capture or transmission or storage etc. This paper proposes and implements a new decision based median filter using cloud model to restore the highly corrupted digital color images. The proposed filter is tested on different images and shows better performance than standard median filter, adaptive median filter, decision based median filter and modified decision based median filter in terms of root mean square error, peak signal to noise ratio and image quality index.

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