원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.8
2016.08
pp.329-342
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Image super-resolution is the process of combining multiple images into a single image that has higher resolution than any of the original images. We present a variational framework for fusing multiple co-registered images using the Total Variation (TV) and Mumford-Shah regularizations. We also propose an alternating minimization strategy for aligning and fusing multiple images in the case when the co-registration parameters are unknown. We discuss applications to video enhancement and present two novel applications to barcode scanning and Magnetic Resonance Imaging (MRI).
목차
Abstract
1. Introduction
2. Variational Super-Resolution
2.1. Data Fusion with Known Registration
2.2. Simultaneous Registration and Fusion
3. Applications of Super-Resolution
3.1. Video Enhancement
3.2. Barcode Scanning
3.3. Reconstruction from MRI Sensor Data
4. Conclusions and Further Research
Acknowledgments
References
1. Introduction
2. Variational Super-Resolution
2.1. Data Fusion with Known Registration
2.2. Simultaneous Registration and Fusion
3. Applications of Super-Resolution
3.1. Video Enhancement
3.2. Barcode Scanning
3.3. Reconstruction from MRI Sensor Data
4. Conclusions and Further Research
Acknowledgments
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보