Superresolution restoration of an image sequence: adaptive filtering approach
- 1 March 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 8 (3) , 387-395
- https://doi.org/10.1109/83.748893
Abstract
This paper presents a new method based on adaptive filtering theory for superresolution restoration of continuous image sequences. The proposed methodology suggests least squares (LS) estimators which adapt in time, based on adaptive filters, least mean squares (LMS) or recursive least squares (RLS). The adaptation enables the treatment of linear space and time-variant blurring and arbitrary motion, both of them assumed known. The proposed new approach is shown to be of relatively low computational requirements. Simulations demonstrating the superresolution restoration algorithms are presented.Keywords
This publication has 11 references indexed in Scilit:
- High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blurPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Restoration of a single superresolution image from several blurred, noisy, and undersampled measured imagesIEEE Transactions on Image Processing, 1997
- Extraction of high-resolution frames from video sequencesIEEE Transactions on Image Processing, 1996
- Motion Analysis for Image Enhancement: Resolution, Occlusion, and TransparencyJournal of Visual Communication and Image Representation, 1993
- Image sequence restoration and deinterlacing by motion-compensated Kalman filteringPublished by SPIE-Intl Soc Optical Eng ,1993
- Adaptive image sequence noise filtering methodsPublished by SPIE-Intl Soc Optical Eng ,1991
- Stochastic model-based approach for simultaneous restoration of multiple misregistered imagesPublished by SPIE-Intl Soc Optical Eng ,1990
- Recursive reconstruction of high resolution image from noisy undersampled multiframesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1990
- Image Sequence Processing and Dynamic Scene AnalysisPublished by Springer Nature ,1983
- Image Sequence AnalysisPublished by Springer Nature ,1981