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- W1969133814 abstract "When an interlaced image sequence is viewed at the rate of sixty frames per second, the human visual system interpolates the data so that the missing fields are not noticeable. However, if frames are viewed individually, interlacing artifacts are quite prominent. This paper addresses the problem of deinterlacing image sequences for the purposes of analyzing video stills and generating high-resolution hardcopy of individual frames. Multiple interlaced frames are temporally integrated to estimate a single progressively-scanned still image, with motion compensation used between frames. A video observation model is defined which incorporates temporal information via estimated interframe motion vectors. The resulting ill- posed inverse problem is regularized through Bayesian maximum a posteriori (MAP) estimation, utilizing a discontinuity-preserving prior model for the spatial data. Progressively- scanned estimates computed from interlaced image sequences are shown at several spatial interpolation factors, since the multiframe Bayesian scan conversion algorithm is capable of simultaneously deinterlacing the data and enhancing spatial resolution. Problems encountered in the estimation of motion vectors from interlaced frames are addressed." @default.
- W1969133814 created "2016-06-24" @default.
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- W1969133814 date "1996-03-13" @default.
- W1969133814 modified "2023-09-27" @default.
- W1969133814 title "<title>Motion-compensated scan conversion of interlaced video sequences</title>" @default.
- W1969133814 doi "https://doi.org/10.1117/12.234734" @default.
- W1969133814 hasPublicationYear "1996" @default.
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