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A differential image compression method using adaptive parameterized extrapolation

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Abstract

The paper deals with an image compression method using differential pulse-code modulation (DPCM) with an adaptive extrapolator capable of adjusting itself to local distinctions of image contours (boundaries). A negative effect of quantization on the optimization of the adaptive extrapolator is investigated. Even so the experiment has shown that the use of an adaptive extrapolator is more effective than the use of prototypes. We have studied the method as a whole with close consideration given to the coding of the quantized signal. The maximal error criterion and a Waterloo grey set of real patterns are used to compare the method with the JPEG technique.

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  1. Samara National Research University, Samara, Russia

    M. V. Gashnikov

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  1. M. V. Gashnikov
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Correspondence to M. V. Gashnikov.

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Gashnikov, M.V. A differential image compression method using adaptive parameterized extrapolation. Opt. Mem. Neural Networks 26, 137–144 (2017). https://doi.org/10.3103/S1060992X17020023

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  • DOI: https://doi.org/10.3103/S1060992X17020023

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