Image restoration is the process of restoring or deblurring an image which has been undergone certain degradations. In this paper, we proposed a method for image restoration based on segmentation and fuzzy clustering. This Method consider the similar image pair which having common feature corresponding to degraded one in another. This proposed method firstly partition the image into specified segments and then it will use fuzzy clustering to cluster the segment based on their PSNR value and provide the segmentsthat needs to restore which will further used for accuracy of method.The performance of the system is evaluated on the basis of PSNR value. The proposed method shows the higher efficiency compared to existing methods.
목차
Abstract 1. Introduction 2. Proposed Method for Image Restoration 2.1 Algorithm and Architecture for Proposed Methodology: 2.2 Image Segmentation 2.3 Fuzzy Based Clustering 2.4 Image Deblurring 3. Perfomance Evaluation 4. Conclusion and Future Work References
키워드
Image RestorationSegmentationFuzzy LogicPSNR value
저자
Siddharth Saxena [ Department of CSE & IT, MITS, Gwalior ]
Rajeev Kumar Singh [ Department of CSE & IT, MITS, Gwalior ]
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
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 Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7 No.4