TY - JOUR
T1 - Bayesian resolution enhancement of compressed video
AU - Segall, C. Andrew
AU - Katsaggelos, Aggelos K.
AU - Molina, Rafael
AU - Mateos, Javier
N1 - Funding Information:
Manuscript received February 4, 2002; revised November 19, 2003. This work was supported in part by the "Comisión Nacional de Ciencia y Tecnología" under contracts TIC2000-1275 and TIC2003-00880. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Tamas Sziranyi.
PY - 2004/7
Y1 - 2004/7
N2 - Super-resolution algorithms recover high-frequency information from a sequence of low-resolution observations. In this paper, we consider the impact of video compression on the super-resolution task. Hybrid motion-compensation and transform coding schemes are the focus, as these methods provide observations of the underlying displacement values as well as a variable noise process. We utilize the Bayesian framework to incorporate this information and fuse the super-resolution and post-processing problems. A tractable solution is defined, and relationships between algorithm parameters and information in the compressed bitstream are established. The association between resolution recovery and compression ratio is also explored. Simulations illustrate the performance of the procedure with both synthetic and nonsynthetic sequences.
AB - Super-resolution algorithms recover high-frequency information from a sequence of low-resolution observations. In this paper, we consider the impact of video compression on the super-resolution task. Hybrid motion-compensation and transform coding schemes are the focus, as these methods provide observations of the underlying displacement values as well as a variable noise process. We utilize the Bayesian framework to incorporate this information and fuse the super-resolution and post-processing problems. A tractable solution is defined, and relationships between algorithm parameters and information in the compressed bitstream are established. The association between resolution recovery and compression ratio is also explored. Simulations illustrate the performance of the procedure with both synthetic and nonsynthetic sequences.
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U2 - 10.1109/TIP.2004.827230
DO - 10.1109/TIP.2004.827230
M3 - Article
C2 - 15648857
AN - SCOPUS:3142678841
VL - 13
SP - 898
EP - 910
JO - IEEE Transactions on Image Processing
JF - IEEE Transactions on Image Processing
SN - 1057-7149
IS - 7
ER -