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Statistical properties of coded interlaced and progressive image sequences
1Université Catholique de Louvain, Communications and Remote Sensing Laboratory, B-1348 Louvain-la-Neuve, Belgium. vandendorpe@tele.ucl.ac.be
Abstract:
In this paper, we investigate the statistical properties of interlaced and progressive image sequences in order to determine what is the most efficient format from a coding point of view. Intra- and inter-coding modes are both considered. The main result is that, for both intra- and inter-images, the coding of progressive images outperforms the coding of interlaced ones for low bit rates and large motion vectors. Particular attention is paid to inter-coding with subpel accuracy, where the effects of nonideal interpolation filters and finite precision of the motion vector are taken into account.
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