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- W1764571236 abstract "A digital image sequence coded at low bitrate using a motion-compensated video compression standard should contain little data redundancy. However, the success of a particular super-resolution enhancement algorithm is predicted on super-resolution overlap (i.e., redundancy) of moving objects from frame-to-frame. If an MPEG-1 bitstream is coded at a relatively high bitrate (e.g., a compression ratio of 15:1), enough data redundancy exists within the bitstream to successfully perform super-resolution enhancement within the decoder. Empirical results are presented in which decoded pictures from MPEG-1 bitstreams containing both global scene transformations and independent object notion are integrated to generate Bayesian high-resolution video still (HRVS) images. It is shown that additional spatial details can be extracted by integrating several motion-compensated coded pictures, provided that a large number of subpixel-resolution overlaps-such as those captured by a reconnaissance airplane or surveillance satellite-are present among the original digitized video frames." @default.
- W1764571236 created "2016-06-24" @default.
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- W1764571236 date "2002-11-07" @default.
- W1764571236 modified "2023-09-27" @default.
- W1764571236 title "MPEG-1 super-resolution decoding for the analysis of video still images" @default.
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- W1764571236 doi "https://doi.org/10.1109/iai.2000.839563" @default.
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