Paper Info
Title
Regularized Iterative Image Sequence Interpolation with Spatially Adaptive Constraints.
Abstract
In this research, we propose an image interpolation algorithm based on the regularized iterative image restoration method. By adopting spatial adaptive constraints in each regularized iteration steps, the proposed algorithm provides a better interpolated image from the image sequence than the conventional non-adaptive interpolation algorithms. Due to its spatially adaptive nature, it can be applied to the general image sequence with differently moving objects. Real-time implementation of the proposed algorithm is also considered by updating the moiton compensated image frames.
Year
DOI
Venue
1998
10.1109/ICIP.1998.723429
ICIP (2)
Keywords
Field
DocType
iterative methods,frequency,image resolution,pixel,adaptive signal processing,spatial resolution,image interpolation,motion compensation,interpolation,image restoration,degradation
Nearest-neighbor interpolation,Computer vision,Feature detection (computer vision),Computer science,Interpolation,Stairstep interpolation,Image processing,Demosaicing,Artificial intelligence,Image restoration,Image scaling
Conference
Volume
ISBN
Citations 
2
0-8186-8821-1
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Jeongho Shin112417.26
Yoo Chan Choung271.21
Joon Ki Paik312918.73