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Spatially adaptive subsampling of image sequences

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4 Author(s)
Belfor, R.A.F. ; Inf. Theory Group, Delft Univ. of Technol., Netherlands ; Hesp, M.P.A. ; Lagendijk, R.L. ; Biemond, J.

In a spatially adaptive subsampling scheme, the subsampling lattice is adapted to the local spatial frequency content of an image sequence. In this paper, we use rate-distortion theory to show that spatially adaptive subsampling gives a better performance than subsampling with a fixed sampling lattice. A new algorithm that optimally assigns sampling lattices to different parts of the image is presented. The proposed spatially adaptive subsampling method can be applied within a motion-compensated coding scheme as well. Experiments show an increased performance over fixed lattice subsampling

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Image Processing, IEEE Transactions on  (Volume:3 ,  Issue: 5 )