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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.4 No.3
- 발행연도
- 2004.12
- 수록면
- 266 - 270 (5page)
이용수
초록· 키워드
오류제보하기
The image interpolation is one of an image preprocessing process to heighten a resolution. The conventional image interpolation used much to concept that it put in other pixel to select the nearest value in a pixel simply, and use much the temporal object interpolation techniques to do the image interpolation by detecting motion in a moving picture presently.
In this paper, it is proposed the image interpolation techniques using the fuzzy wavelet base function. This is applied to embody a correct edge image and a natural image when expand part of the still image by applying the fuzzy wavelet base function coefficient to the conventional B-spline function. And the proposal algorithm in this paper is confirmed to improve about 1.2831 than the image applying the conventional B-spline function through the computer simulation.
In this paper, it is proposed the image interpolation techniques using the fuzzy wavelet base function. This is applied to embody a correct edge image and a natural image when expand part of the still image by applying the fuzzy wavelet base function coefficient to the conventional B-spline function. And the proposal algorithm in this paper is confirmed to improve about 1.2831 than the image applying the conventional B-spline function through the computer simulation.
목차
Abstract
1. Introduction
2. B-Spline Interpolation Function
3. Proposed Fuzzy Wavelet Transform
4. Simulation and Result
5. Conclusions
References
참고문헌 (5)
참고문헌 신청
, 1988. , Two-dimensional spline interpolation for image reconstruction 21 : 275 ~ 284
, 2000.08 , Interpolation using Neural Networks for Digital Still Cameras 46 (3) : 610 ~ 616
, 1991 , Fast B-spline transforms for continuous image representation and interpolation 13 : 277 ~ 285
, 1998.07 , Design of High Speed Weighted FDNN applied DWW Algorithm 35-c (7) : 101 ~ 108
, 2000. , Wavelet Theory and Its Application to Pattern Recognition 36
, 2000.08 , Interpolation using Neural Networks for Digital Still Cameras 46 (3) : 610 ~ 616
, 1991 , Fast B-spline transforms for continuous image representation and interpolation 13 : 277 ~ 285
, 1998.07 , Design of High Speed Weighted FDNN applied DWW Algorithm 35-c (7) : 101 ~ 108
, 2000. , Wavelet Theory and Its Application to Pattern Recognition 36
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