A novel fuzzy logic based filtering technique is proposed to restore images corrupted by impulse noise. The proposed scheme is in two phases namely the detection of noisy pixels at all locations in the image using fuzzy knowledge based and application of recursive median filter on the corrupted pixels to remove the impulse noise. The performance of the proposed technique is tested on various test images corrupted at various noise densities and also compared with some of the existing filters. Experimental results show that the proposed technique exhibits superior performance than their counterparts and is efficiently capable of removing fixed-valued impulse noise densities, ranging from 5% to 40% in the image while at the same time effectively preserving the useful information in the image.
목차
Abstract 1. Introduction 2. Impulse Noise Model 3. Proposed Technique A. Impulse Noise Detection and Fuzzy Rules B. Defuzzification C. Recursive Median Filtering Algorithm 4. Simulation Results 5. Conclusion References
키워드
Impulse noiseNonlinear filterFuzzy LogicDefuzzificationRecursive median filteringPeak Signal- to- noise Ratio.
저자
Aborisade, D.O [ Department of Electronics Engineering, Ladoke Akintola University of Tech., Ogbomoso. Oyo-state. ]
보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Advanced Science and Technology
간기
월간
pISSN
2005-4238
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Advanced Science and Technology Vol.32