Parametric texture synthesis for filling holes in pictures
Item Type:Conference Paper
Citation:Kokaram, A. `Parametric texture synthesis for filling holes in pictures? in proceedings of the International Conference on Image Processing 2002, 22-25 September 2002, 1, IEEE, 2002, pp I-325 - I-328
Parametric texture synthesis for filling holes in pictures.pdf (Published (publisher's copy) - Peer Reviewed) 307.6Kb
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 then draw samples from that p.d.f. to create the resulting reconstruction. A Bayesian approach is used to repose 2D autoregressive models as generative models for texture (using the Gibbs sampler) given surrounding boundary conditions. A fast implementation is presented that iterates between pixelwise updates and blockwise parametric model estimation. The novel ideas in this paper are joint parameter estimation and fast, efficient texture reconstruction using linear models.
Author: KOKARAM, ANIL CHRISTOPHER
Type of material:Conference Paper
Availability:Full text available