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Multiframe resolution-enhancement methods for compressed video

delete2002-06-01
delete36
PRE
AI
B
Bahadır K. Güntürk *
Y
Y. Altunbasak
R
R.M. Mersereau
DOI：10.1109/LSP.2002.800503delete
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Abstract

Abstract

En 中文
Multiframe resolution enhancement (superresolution) methods are becoming widely studied, but Only a few procedures have been developed to work with compressed video, despite the fact that compression is a standard component of most image- and video-processing applications. One of these methods uses quantization-bound information to define convex sets and then employs a technique called projections onto convex sets (POCS) to estimate the original image. Another uses a discrete cosine transformation (DCT)-domain Bayesian estimator to enhance resolution in the presence of both quantization and additive noise. The latter approach is also capable of incorporating known source statistics and other reconstruction constraints to impose blocking artifact reduction and edge enhancement as part of the solution. In this article we propose a spatial-domain Bayesian estimator that has advantages over both of these approaches.
Keywords:
high-resolution video
maximum a posteriori probability (MAP)
Motion Pictures Experts Group (MPEG)
multiframe restoration
projections onto convex sets (POCS)
resolution enhancement
superresolution (SR)
video quality

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

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No organization information available