Browsing School of Engineering by Subject "autoregressive processes"
Now showing items 1-5 of 5
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Causality considerations for missing data reconstruction in image sequences
(IEEE, 1997)The 3D autoregressive (AR) model with a non-causal support region has been successfully employed in the reconstruction of texture and missing regions in image sequences. This paper discusses the causality considerations ... -
Detection and interpolation of replacement noise in motion picture sequences using 3D autoregressive modelling
(IEEE, 1994)Perhaps the most common distortion in degraded film or video material is the occurrence of blotches of varying colour randomly dispersed in each frame. The blotches are caused by the abrasion of the film or collection of ... -
Fast high quality interpolation of missing data in image sequences using a controlled pasting scheme
(IEEE, 1999)An important topic in image restoration is interpolation of missing data in image sequences. Missing data is a result of dirt on film and of ageing processes where the film contents are replaced by data that bears little ... -
On missing data treatment for degraded video and film archives: a survey and a new Bayesian approach
(IEEE, 2004)Image sequence restoration has been steadily gaining in importance with the increasing prevalence of visual digital media. The demand for content increases the pressure on archives to automate their restoration activities ... -
Parametric texture synthesis for filling holes in pictures
(IEEE, 2002)This paper presents a framework for "filling in" missing gaps in images and particularly patches with texture. The underlying idea is to construct a parametric model of the p.d.f. of the texture to be re-synthesised and ...