
pmid: 15794159
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," 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." 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" effect?
Video Recording, Information Storage and Retrieval, Reproducibility of Results, Signal Processing, Computer-Assisted, Image Enhancement, Sensitivity and Specificity, Pattern Recognition, Automated, Motion, Imaging, Three-Dimensional, Artificial Intelligence, Subtraction Technique, Image Interpretation, Computer-Assisted, Artifacts, Algorithms
Video Recording, Information Storage and Retrieval, Reproducibility of Results, Signal Processing, Computer-Assisted, Image Enhancement, Sensitivity and Specificity, Pattern Recognition, Automated, Motion, Imaging, Three-Dimensional, Artificial Intelligence, Subtraction Technique, Image Interpretation, Computer-Assisted, Artifacts, Algorithms
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