원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.8
2015.08
pp.283-298
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Super Resolution (SR) reconstruction is a procedure of attaining the High resolution (HR) images from a set of noisy and blurred low resolution (LR) observations. In this paper a novel SR algorithm is proposed by developing a fuzzy based Bicubic interpolation algorithm to improve the resolution of the image. The algorithm significantly improves the resolution, quality and enhances the color information of the reconstructed image when compared with the other existing methods.
목차
Abstract
1. Introduction
2. Fuzzy Bicubic Interpolation
2.1 Bicubic Interpolation
2.2. Fuzzy Bi-cubic Interpolation
3. Proposed Super Resolution Algorithm
3.1 Automatic feature based Registration using SIFT:
3.2. Singular Value Decomposition (SVD) based Fusion
3.3 Restoration
4. Results
5. Conclusions
6. References
6.1. Journal Articles
6.2. Conference Proceedings
6.3. Book
1. Introduction
2. Fuzzy Bicubic Interpolation
2.1 Bicubic Interpolation
2.2. Fuzzy Bi-cubic Interpolation
3. Proposed Super Resolution Algorithm
3.1 Automatic feature based Registration using SIFT:
3.2. Singular Value Decomposition (SVD) based Fusion
3.3 Restoration
4. Results
5. Conclusions
6. References
6.1. Journal Articles
6.2. Conference Proceedings
6.3. Book
저자정보
참고문헌
자료제공 : 네이버학술정보