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1990
Journal Article
Title
Spatio-temporal subsampling and transform coding of HDTV signals
Abstract
A two-stage coding system for reducing the usually high data rate of an HDTV signal to less than 140 Mbit/s is described. Three-dimensional subsampling is used to reduce the number of samples of the digitized interlaced source signal. A motion-adaptive filter structure adjusts the three-dimensional spectrum of the television signal to some reduced region which is supported by the quincunx sampling pattern. The visibility of the transition between different spatial resolutions is decreased by 3D-filtering of slowly moving areas. As a result of subsampling, the sampling frequency is halved. Transform coding of the remaining samples is then performed. The quincunx sampling structure is rotated within blocks of 8 by 8 to result in a rectangular block structure. Different possibilities for transforming the quincunx sampled field have been investigated and compared in terms of energy concentration, entropy calculation and coding efficiency. A data reduction of the transform coefficients is sought in the range of four and five. A modified threshold coding algorithm is used to code the coefficients.
Keyword(s)
data compression
encoding
filtering and prediction theory
high definition television
picture processing
video signals
spatio-temporal subsampling
3d subsampling
transform coding
HDTV signals
two-stage coding system
digitized interlaced source signal
motion-adaptive filter structure
television signal
quincunx sampling pattern
energy concentration
entropy calculation
coding efficiency
data reduction
modified threshold coding algorithm
140 mbit/s