Title :
Joint interpolation, motion and parameter estimation for image sequences with missing data
Author :
Godsill, Simon J. ; Kokaram, Anil C.
Author_Institution :
Signal Processing and Communications Laboratory, University of Cambridge, Cambridge CB2 1PZ, England
Abstract :
This paper presents a new scheme for interpolation of missing data in image sequences, an important problem in many areas including archived motion picture film and digital video. A unified 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 field.
Keywords :
Bayes methods; Data models; Image sequences; Interpolation; Joints; Motion pictures; Standards;
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6