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- W2048652235 abstract "The purpose of this paper is to illustrate the usefulness of two- dimensional (2-D) Gaussian Markov random field models for synthesis and coding of textures. The MRF models used are non causal; the mean of observation y(s) at position s is written as a linear weighted sum of observations surrounding s in all directions. The method of least squares is used to obtain estimates of the model parameters. The model is then used with appropriate boundary conditions to regenerate the original image. Results obtained indicate that this method could be used to code textures at low bit rates." @default.
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- W2048652235 date "1983-03-17" @default.
- W2048652235 modified "2023-09-23" @default.
- W2048652235 title "<title>Image Synthesis And Coding Using Gaussian Markov Random Field Models</title>" @default.
- W2048652235 doi "https://doi.org/10.1117/12.965982" @default.
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