Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Multigrid
Limits on Super-Resolution and How to Break Them
IEEE Transactions on Pattern Analysis and Machine Intelligence
Spatio-Temporal Alignment of Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Deblurring and Super-resolution from an Image Sequence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Increasing Space-Time Resolution in Video
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Automatic Mosaicing with Super-Resolution Zoom
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Super-Resolution Enhancement of Text Image Sequences
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Progress in motion estimation for consumer video format conversion
IEEE Transactions on Consumer Electronics
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
IEEE Transactions on Image Processing
A computationally efficient superresolution image reconstruction algorithm
IEEE Transactions on Image Processing
Virtual high-resolution for sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
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International Journal of Computer Vision
Super-resolution mosaicing from MPEG compressed video
Image Communication
FPGA-Based Real-Time Super-Resolution on an Adaptive Image Sensor
ARC '08 Proceedings of the 4th international workshop on Reconfigurable Computing: Architectures, Tools and Applications
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ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Spatio-temporal Super-Resolution Using Depth Map
SCIA '09 Proceedings of the 16th Scandinavian Conference on Image Analysis
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On the Apparent Transparency of a Motion Blurred Object
International Journal of Computer Vision
Motion compensated video super resolution
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Confidence measure for temporal registration of recurrent non-uniform samples
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
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ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
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IEEE Transactions on Image Processing
A convex approach for variational super-resolution
Proceedings of the 32nd DAGM conference on Pattern recognition
A survey of multilinear subspace learning for tensor data
Pattern Recognition
Video temporal super-resolution based on self-similarity
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Temporal super resolution from a single quasi-periodic image sequence based on phase registration
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
A super resolution algorithm to improve the hough transform
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Video synthesis with high spatio-temporal resolution using spectral fusion
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Computational plenoptic imaging
ACM SIGGRAPH 2012 Courses
Using photographs to enhance videos of a static scene
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Performance Capture of High-Speed Motion Using Staggered Multi-View Recording
Computer Graphics Forum
Patch-based spatio-temporal super-resolution for video with non-rigid motion
Image Communication
Adaptive regularization-based space-time super-resolution reconstruction
Image Communication
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We propose a method for constructing a video sequence of high space-time resolution by combining information from multiple low-resolution video sequences of the same dynamic scene. Super-resolution is performed simultaneously in time and in space. By "temporal super-resolution,驴 we mean recovering rapid dynamic events that occur faster than regular frame-rate. Such dynamic events are not visible (or else are observed incorrectly) in any of the input sequences, even if these are played in "slow-motion.驴 The spatial and temporal dimensions are very different in nature, yet are interrelated. This leads to interesting visual trade-offs in time and space and to new video applications. These include: 1) treatment of spatial artifacts (e.g., motion-blur) by increasing the temporal resolution and 2) combination of input sequences of different space-time resolutions (e.g., NTSC, PAL, and even high quality still images) to generate a high quality video sequence. We further analyze and compare characteristics of temporal super-resolution to those of spatial super-resolution. These include: How many video cameras are needed to obtain increased resolution? What is the upper bound on resolution improvement via super-resolution? What is the temporal analogue to the spatial "ringing驴 effect?