IEEE International Conference on Image Processing 2005 2005
DOI: 10.1109/icip.2005.1530200
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Motion-and aliasing-compensated prediction using a two-dimensional non-separable adaptive Wiener interpolation filter

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Cited by 36 publications
(50 citation statements)
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“…In this paper, we claim that symmetry assumption in [4] has two shortcomings. Firstly, the statistical properties of the image sequence are not stationary and fixed symmetry assumption may not hold for every frame of the image sequence.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we claim that symmetry assumption in [4] has two shortcomings. Firstly, the statistical properties of the image sequence are not stationary and fixed symmetry assumption may not hold for every frame of the image sequence.…”
Section: Introductionmentioning
confidence: 99%
“…However, in order to improve coding efficiency of the interpolation, Adaptive Interpolation Filtering (AIF) with Wiener filters has been extensively studied in the recent years [2]- [4]. The AIF schemes proposed in literature differ significantly in terms of filter structure and tap-length.…”
mentioning
confidence: 99%
“…However, all of these schemes provide comparable results on average for a wide set of test video material. It was reported in [2]- [5], that AIF schemes provide improvement of up to 1.1 dB (30% bitrate savings) in coding gain and 17% of bitrate reduction on average for high resolution video content compared to the standard interpolation filter used in H.264/AVC.…”
mentioning
confidence: 99%
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“…A disadvantage of MCIF is the sensitivity concerning displacement vector estimation errors. Thus, quality improvement could only be achieved in combination with In this paper, we present a new strategy for calculation of optimal filter coefficients for a 2D non-separable motion compensated interpolation filter 5 and an approach for efficient conding of filter coefficients, required especially at low bit rates and small resolution videos. In the following section, the new scheme of interpolation filter is described.…”
mentioning
confidence: 99%