Issue No. 04 - April (2005 vol. 27)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPAMI.2005.85
Michal Irani , IEEE
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?
Super-resolution, space-time analysis, temporal resolution, motion blur, motion aliasing, high-quality video, fast cameras.
Eli Shechtman, Michal Irani, Yaron Caspi, "Space-Time Super-Resolution", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 27, no. , pp. 531-545, April 2005, doi:10.1109/TPAMI.2005.85