Image restoration using 2D autoregressive texture model and structure curve construction
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | Mobile Multimedia/Image Processing, Security, and Applications 2015 |
| Editors | SS Agaian, SA Jassim, EY Du |
| Place of Publication | BELLINGHAM |
| Publisher | SPIE |
| Number of pages | 11 |
| DOIs | |
| Publication status | Published - 2015 |
| Publication type | A4 Article in a conference publication |
| Event | Conference on Mobile Multimedia/Image Processing, Security, and Applications - Baltimore, Moldova, Republic of Duration: 20 Apr 2015 → 21 Apr 2015 |
Publication series
| Name | Proceedings of SPIE |
|---|---|
| Publisher | SPIE-INT SOC OPTICAL ENGINEERING |
| Volume | 9497 |
| ISSN (Print) | 0277-786X |
Conference
| Conference | Conference on Mobile Multimedia/Image Processing, Security, and Applications |
|---|---|
| Country | Moldova, Republic of |
| Period | 20/04/15 → 21/04/15 |
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.
Keywords
- image inpainting, edge reconstruction, spline interpolation, texture synthesis, autoregressive model