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This paper presents methods for detection and reconstructionof `missing" data in image sequences whichcan be modelled using 3-dimensional autoregressive (3DAR)models. The interpolation of missing data is importantin many areas of image processing, includingthe restoration of degraded motion pictures, reconstructionof drop-outs in digital video and automatic`re-touching" of old photographs. Here a probabilisticBayesian framework is adopted. The methodassumes no prior knowledge of the...

Joint detection, interpolation, motion and parameter estimation for image sequences with missing data