Andparameter Estimation for Image Sequenceswith Missing
نویسندگان
چکیده
This paper presents a new scheme for interpolation of missing data in image sequences, an important problem in many areas including archived motion picture lm and digital video. A uniied framework for image data modelling and motion estimation is adopted which is based on 3-dimensional autoregressive (3DAR) models with motion correction. A fully Bayesian methodology is implemented using the Gibbs Sampler, a method which allows for joint estimation with respect to all of the unknowns, including the motion eld.
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تاریخ انتشار 1996