Joint Detection, Interpolation, Motion and Parameter Estimation for Image Sequences with Missing Data

This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The interpolation of missing data is important in many areas of image processing, including the restoration of degraded motion pictures, reconstruction of drop-outs in digital video and automatic `re-touching' of old photographs. Here a probabilistic Bayesian framework is adopted. The method assumes no prior knowledge of the motion field or 3DAR model parameters as these are estimated jointly with the missing image pixels. Incorporating a degradation model into the framework allows detection to proceed jointly with interpolation.

• Type: Conference
• Year: 1997
• Where: ICIAP
• Authors: Anil C. Kokaram, Simon J. Godsill
• Keywords: Degraded Motion Pictures, ICIAP 1997, Image Processing, Paper Presents Methods, Probabilistic Bayesian Framework