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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Erickson, K.J. Schultz, R.R. |
| Copyright Year | 2000 |
| Description | Author affiliation: Notre Dame Univ., IN, USA (Erickson, K.J.) |
| 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. |
| Starting Page | 13 |
| Ending Page | 17 |
| File Size | 485484 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769505953 |
| DOI | 10.1109/IAI.2000.839563 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-04-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decoding Spatial resolution Transform coding Video compression Bit rate Digital images Code standards Prediction algorithms Image coding Layout |
| Content Type | Text |
| Resource Type | Article |
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