21 May 2015 Image restoration using 2D autoregressive texture model and structure curve construction
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Abstract
In this paper an image inpainting approach based on the construction of a composite curve for the restoration of the edges of objects in an image using the concepts of parametric and geometric continuity is presented. It is shown that this approach allows to restore the curved edges and provide more flexibility for curve design in damaged image by interpolating the boundaries of objects by cubic splines. After edge restoration stage, a texture restoration using 2D autoregressive texture model is carried out. The image intensity is locally modeled by a first spatial autoregressive model with support in a strongly causal prediction region on the plane. Model parameters are estimated by Yule-Walker method. Several examples considered in this paper show the effectiveness of the proposed approach for large objects removal as well as recovery of small regions on several test images.
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V. V. Voronin, V. I. Marchuk, S. P. Petrosov, I. Svirin, S. Agaian, K. Egiazarian, "Image restoration using 2D autoregressive texture model and structure curve construction", Proc. SPIE 9497, Mobile Multimedia/Image Processing, Security, and Applications 2015, 949706 (21 May 2015); doi: 10.1117/12.2076508; https://doi.org/10.1117/12.2076508
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