CUED Publications database

A system for reconstruction of missing data in image sequences using sampled 3D AR models and MRF motion priors

Kokaram, AC and Godsill, SJ (1996) A system for reconstruction of missing data in image sequences using sampled 3D AR models and MRF motion priors. In: UNSPECIFIED pp. 614-624..

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Abstract

© Springer-Verlag Berlin Heidelberg 1996. This paper presents a new technique for interpolating missing data in image sequences. A 3D autoregressive (AR) model is employed and a sampling based interpolator is developed in which reconstructed data is generated as a typical realization from the underlying AR process, rather than e.g. least squares (LS). In this way a perceptually improved result is achieved. A hierarchical gradient-based motion estimator, robust in regions of corrupted data, employing a Markov random field (MRF) motion prior is also presented for the estimation of motion before interpolation.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div F > Signal Processing and Communications
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:40
Last Modified: 03 Aug 2017 03:11
DOI: