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Abstract

A method for data reduction of digital video signals by vector quantization of coefficients acquired by orthonormal transformation with a symmetrical, nearly cyclical Hadamard matrix, employs formation of a mean value coefficient and a plurality of structure coefficients from a plurality of blocks formed from the input signal in a Peano curve arrangement, these coefficients being in part only scalarly quantized and in part both scalarly as well as vectorially quantized. The quantization takes place in a coder having at least two stages interconnected cascade-like. The reconstruction of the video signal takes place in a decoder, having an identical plurality of stages. The method allows the noise amplitude of the video signal acquired after back-transformation to be adapted to the visibility thresholds of the human visual system.

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