High resolution standards conversion of low resolution video
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 4 (15206149) , 2197-2200
- https://doi.org/10.1109/icassp.1995.479912
Abstract
With the advent of frame grabbers capable of acquiring multiple video frames, a great deal of attention is being directed at creating high-resolution (hi-res) imagery from interlaced or low-resolution (low-res) video. This is a multi-faceted problem, which generally necessitates standards conversion and hi-res reconstruction. Standards conversion is the problem of converting from one spatio-temporal sampling lattice to another, while hi-res image reconstruction involves increasing the spatial sampling density. Also of interest is removing degradations that occur during the image acquisition process. These tasks have all received considerable, yet separate, treatment in the literature. A unifying video formation model is presented which addresses these problems simultaneously. Then, a POCS-based algorithm for generating high-resolution imagery from video is delineated. Results with real imagery are included.Keywords
This publication has 7 references indexed in Scilit:
- Virtual bellows: constructing high quality stills from videoPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- 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
- Very high resolution imaging scheme with multiple different-aperture camerasSignal Processing: Image Communication, 1993
- Motion Analysis for Image Enhancement: Resolution, Occlusion, and TransparencyJournal of Visual Communication and Image Representation, 1993
- Recursive high-resolution reconstruction of blurred multiframe imagesIEEE Transactions on Image Processing, 1993
- Motion-compensated filtering of time-varying imagesMultidimensional Systems and Signal Processing, 1992
- Motion compensating field interpolation using a hierarchically structured displacement estimatorSignal Processing, 1986