Fuzzy Based Adaptive Filters in Color Image Processing
D. Sreenivasa Rao1, Y. Gangadhar2, V.S. Giridhar Akula3

1D. Sreenivasa Rao Associate Professor and HOD (CSE), Vemu Institute of Technology, Chittoor , A.P.
2Y. Gangadhar, Asst. Professor, Dept of CSE, Avanthi’s Scientific Technological and Research Academy, Hyderabad-501512, A.P, India.
3Dr. V.S. Giridhar Akula, Professor and Principal, Avanthi’s Scientific
Technological and Research Academy, Hyderabad, A.P, India.
Manuscript received on December 05, 2011. | Revised Manuscript received on December 29, 2011. | Manuscript published on January 05, 2012. | PP: 332-335 | Volume-1 Issue-6, January 2012. | Retrieval Number: F0348121611/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Published By: 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: Noise reduction is the very important stage of image processing and pattern reorganization. Many researches find new tools and filters for noise reduction. This paper proposed a fuzzy based adaptive filter. The proposed filter is composed with the existing filter like VDF, VMF and VRF with Gaussian noise, impulse noise and mixed Gaussian Noise. The proposed method is proved to be a best suitable one with a P value of 0.23.
Keywords: Rectangular Window, Rational Functions, Fuzzy Logic, Color Space, Trapezoid Fuzzy Subsets, Fuzzy Membership Function, Distances Function Sub Filters, Power Parameter.