Video-to-video dynamic super-resolution for grayscale and color sequences
EURASIP Journal on Applied Signal Processing
A MAP estimator for simultaneous superresolution and detector nonuniformity correction
EURASIP Journal on Applied Signal Processing
Super-resolution mosaicing from MPEG compressed video
Image Communication
An Edge-Preserving Super-Precision for Simultaneous Enhancement of Spacial and Grayscale Resolutions
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
A super-resolution reconstruction algorithm for surveillance images
Signal Processing
A novel deringing method based on map image restoration
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Maximum a posteriori super-resolution of compressed video using a new multichannel image prior
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Web cartoon video hallucination
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Maximum a posteriori video super-resolution using a new multichannel image prior
IEEE Transactions on Image Processing
Robust web image/video super-resolution
IEEE Transactions on Image Processing
Coordinate-descent super-resolution and registration for parametric global motion models
Journal of Visual Communication and Image Representation
Accurate image registration for MAP image super-resolution
Image Communication
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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.