DocumentCode
2004817
Title
Regularized iterative image sequence interpolation with spatially adaptive constraints
Author
Shin, Jeong Ho ; Choung, Yoo Chan ; Paik, Joon Ki
Author_Institution
Chung-Ang Univ., Seoul, South Korea
Volume
2
fYear
1998
fDate
4-7 Oct 1998
Firstpage
470
Abstract
We propose an image interpolation algorithm based on the regularized iterative image restoration method. By adopting spatial adaptive constraints in each regularized iteration step, 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 motion compensated image frames
Keywords
adaptive signal processing; image resolution; image restoration; image sequences; interpolation; iterative methods; motion compensation; image frames updating; image interpolation algorithm; low resolution image; motion compensated image frames; moving objects; real-time implementation; regularized iteration; regularized iterative image restoration; regularized iterative image sequence interpolation; spatially adaptive constraints; Degradation; Filters; Frequency; Image resolution; Image restoration; Image sequences; Interpolation; Iterative algorithms; Pixel; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location
Chicago, IL
Print_ISBN
0-8186-8821-1
Type
conf
DOI
10.1109/ICIP.1998.723429
Filename
723429
Link To Document