High-quality subband image coding of TV signals at 5 Mbit/s with motion compensation interpolation and visually optimized scalar quantization

Jose Hanen; Dominique Barba

doi:10.1117/12.157907

22 October 1993 High-quality subband image coding of TV signals at 5 Mbit/s with motion compensation interpolation and visually optimized scalar quantization

Jose Hanen, Dominique Barba

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Proceedings Volume 2094, Visual Communications and Image Processing '93; (1993) https://doi.org/10.1117/12.157907
Event: Visual Communications and Image Processing '93, 1993, Cambridge, MA, United States

Abstract

To obtain a high level of quality when coding a TV color video signal with a high compression rate, the spatial subband decomposition and the differential coding with motion compensation and psychovisual quantization have been previously successfully used for coding a color television sequence at a rate of 10 Mbit/s. However these techniques are not sufficiently efficient to achieve the objective of a rate of 5 Mbit/s without any significant reduction of the spatial resolution and of the quantification quality. We present a subband coding method which allows the user to simultaneously maintain the full spatial resolution and the quantization quality. This method is based on a frame skipping algorithm; it primarily uses motion compensation techniques for the interpolation of non coded frames and the prediction of coded frames and secondarily a spatial subband decomposition of the prediction error before a coding step which uses a set of visually optimized scalar quantizers -- the quantization in the spatial frequency domain is adapted to the visual perception by incorporating some important aspects of the human visual system (frequency dependence and masking).

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Jose Hanen and Dominique Barba "High-quality subband image coding of TV signals at 5 Mbit/s with motion compensation interpolation and visually optimized scalar quantization", Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); https://doi.org/10.1117/12.157907

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KEYWORDS

Quantization

Visualization

Signal to noise ratio

Image compression

Spatial resolution

Visual system

Visibility

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