Summary: 170 IEEE SIGNAL PROCESSING LETTERS, VOL. 9, NO. 6, JUNE 2002
Multiframe Resolution-Enhancement Methods
for Compressed Video
B. K. Gunturk, Yucel Altunbasak, Senior Member, IEEE, and R. M. Mersereau, Fellow, IEEE
Abstract--Multiframe resolution enhancement ("superreso-
lution") 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 co-
sine 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.
Index Terms--High-resolution video, maximum a posteriori