1974
DOI: 10.1007/bf00978978
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Time series model for texture synthesis

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Cited by 99 publications
(20 citation statements)
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“…McCormick and Jayaramanurthy have obtained similar results using a slightly more complicated model [ 51].…”
mentioning
confidence: 62%
See 1 more Smart Citation
“…McCormick and Jayaramanurthy have obtained similar results using a slightly more complicated model [ 51].…”
mentioning
confidence: 62%
“…McCor mick and Jayaramanurthy using a seasonal autoregressive integrated movin g avera ge model [ 51]. The model is also de m on str a ted in a d i f f e r e n t ial pulse code modulation scheme (DPCM) .…”
Section: Introductionmentioning
confidence: 99%
“…For the first time, this linear dependency was tested with an autoregression model by McCormick and Jayaramamurthy. [37] They have also used this dependency in synthesis experiments.…”
Section: Autoregressive (Ar) Modelsmentioning
confidence: 99%
“…Time series analysis (1 ] has been extensively used (2,3,12] to study visual textures. The image is TV scanned to provide a one-dimensional series of gray level fluctuations , which is treated as a one-dimensional stochastic process evolving in "time" .…”
Section: Time Series Modelsmentioning
confidence: 99%
“…We denote the series by [Z]. he dependence of the current value of the random variable Z , Z~, on the past values of Z and a is expressed in different ways, and this gives rise to several different models [12].…”
Section: Let Z T_l Z~ Z~~1mentioning
confidence: 99%