Statistical properties of coded interlaced and progressive image sequences

  • Authors:
  • L. Vandendorpe;L. Cuvelier

  • Affiliations:
  • Commun. & Remote Sensing Lab., Univ. Catholique de Louvain;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 1999

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Abstract

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