지원사업
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
- 학술대회자료
- 저자정보
- 발행연도
- 2011.10
- 수록면
- 236 - 241 (6page)
이용수
초록· 키워드
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We constructed a technique to reconstruct a high-resolution original image using multiple low-resolution corrupted images for the framework of the reconstruction-based super-resolution utilizing image registration via the correlation method, resolution transformation via the bi-cubic method and noise reduction via the generalized statistical smoothing (GSS). Using numerical simulation for 256-grayscale standard images, we clarified that the present method achieves optimal performance for the reconstruction-based super-resolution, if we appropriately set the parameter for generalized parameter scheduling and threshold for edge enhancement in the GSS for noise reduction. Also, we found that the present method reconstructs an original image more accurately than that of the method using the correlation method, the bi-cubic method and the conventional filter, such as the average and Gaussian filter.
목차
Abstract
1. INTRODUCTION
2. SUPER-RESOLUTION
3. GENERAL FORMULATION
4. PERFORMANCE
5. SUMMARY AND DISCUSSION
ACKNOWLEDGEMENT
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000912426