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IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 1, JANUARY 2004 33 Super-Resolution Reconstruction of Compressed
 

Summary: IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 13, NO. 1, JANUARY 2004 33
Super-Resolution Reconstruction of Compressed
Video Using Transform-Domain Statistics
Bahadir K. Gunturk, Student Member, IEEE, Yucel Altunbasak, Senior Member, IEEE, and
Russell M. Mersereau, Fellow, IEEE
Abstract--Considerable attention has been directed to the
problem of producing high-resolution video and still images from
multiple low-resolution images. This multiframe reconstruction,
also known as super-resolution reconstruction, is beginning to be
applied to compressed video. Super-resolution techniques that
have been designed for raw (i.e., uncompressed) video may not
be effective when applied to compressed video because they do
not incorporate the compression process into their models. The
compression process introduces quantization error, which is the
dominant source of error in some cases. In this paper, we propose
a stochastic framework where quantization information as well as
other statistical information about additive noise and image prior
can be utilized effectively.
Index Terms--DCT-domain reconstruction, MAP, multiframe
image reconstruction, POCS, super-resolution.

  

Source: Altunbasak, Yucel - School of Electrical and Computer Engineering, Georgia Institute of Technology

 

Collections: Engineering