Paper
27 February 1996 Iterative algorithm for improving the resolution of video sequences
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233218
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
This paper introduces an iterative and temporally recursive technique to improve the spatial resolution of a video sequence. Such iterative techniques have a number of advantages, among which are the ability to incorporate prior information into the restoration and the removal of the need for taking inverses of matrices. At each iteration, a residual (error) term is added to the current estimate of the high resolution frame. This residual term is based on a model which mathematically describes the relationship between the low resolution images and their corresponding high resolution images. This model incorporates the motion between the frames, and in the most general case, takes into account occlusions and newly uncovered areas. Experimental results are presented which demonstrate the capabilities of the proposed approach. Keywords: video enhancement , interpolation, motion compensation , subsampling
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian C. Tom and Aggelos K. Katsaggelos "Iterative algorithm for improving the resolution of video sequences", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233218
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Cited by 36 scholarly publications.
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KEYWORDS
Image resolution

Motion estimation

Video

Image analysis

Motion models

Mathematical modeling

Error analysis

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