1 November 1992 Efficient image sequence coding by vector quantization of spatiotemporal bandpass outputs
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Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992); doi: 10.1117/12.131386
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
A coding scheme for image sequences is designed in analogy to human visual information processing. We propose a feature-specific vector quantization method applied to multi-channel representation of image sequences. The vector quantization combines the corresponding local/momentary amplitude coefficients of a set of three-dimensional analytic band-pass filters being selective for spatiotemporal frequency, orientation, direction and velocity. Motion compensation and decorrelation between successive frames is achieved implicitly by application of a non-rectangular subsampling to the 3D-bandpass outputs. The nonlinear combination of the outputs of filters which are selective for constantly moving one- dimensional (i.e. spatial elongated) image structures allows a classification of the local/momentary signal features with respect to their intrinsic dimensionality. Based on statistical investigations a natural hierarchy of signal features is provided. This is then used to construct an efficient encoding procedure. Thereby, the different sensitivity of the human vision to the various signal features can be easily incorporated. For a first example, all multi- dimensional vectors are mapped to constantly moving 1D-structures.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bernhard Wegmann, Christoph Zetzsche, "Efficient image sequence coding by vector quantization of spatiotemporal bandpass outputs", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131386; https://doi.org/10.1117/12.131386
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KEYWORDS
Quantization

Electronic filtering

Image compression

Linear filtering

3D image processing

Image processing

Image filtering

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