Adaptive Methods Applied To Intra And Interframe Predictive Coding

J. C. Pesquet; G. Tziritas

doi:10.1117/12.968982

25 October 1988 Adaptive Methods Applied To Intra And Interframe Predictive Coding

J. C. Pesquet, G. Tziritas

Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.968982
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States

Abstract

One way to achieve image compression is to use predictive coding schemes. Furthermore, as the signal to process is not stationary, such schemes can even be improved by adopting adaptive strategies. In this paper, it will be proven that it is possible to use a continuous adaptation. The coding protocol can thus be simplified because there is no need to transmit any signal other than the prediction error. The predictor used is a transversal filter with continuously adapted coefficients. To arrive at this, one-dimensional Least Mean Square and adaptive Least Squares are generalized to the special case of digital image processing. The methods described are of great interest and could be applied to many fields other than image coding. A method of adapting the levels of a quantizer to the dynamic range of the two-dimensional signal will also be developed. This is based on a 2D backward estimation of the prediction error variance. The practical implementation of these algorithms will then be analyzed for intraframe and interframe cases. Comparison with a fixed encoder, clearly shows the interest of such techniques. With no excessive computational complexity, we obtain a 40 percent improvement for the distortion by using an LMS -adapted predictor and a three-level adaptive quantizer. The numerous simulations made also give good visual results.

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J. C. Pesquet and G. Tziritas "Adaptive Methods Applied To Intra And Interframe Predictive Coding", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.968982

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