Abstract
There are various real world situations where, a portion of the image is lost or damaged which needs an image restoration. A Prior knowledge of the image may not be available for restoring the image, which demands for a knowledge derivation from the image itself. Restoring the lost portions of the image based on the knowledge obtained from the image area surrounding the lost area is called as Digital Image Inpainting. The information content in the lost area could contain structural information like edges or textural information like repeating patterns. This knowledge is derived from the boundary area surrounding the lost area. Based on this, the lost area is restored by looking at similar information in the same image. Experimentation have been done on various images and observed that the algorithm restores the image in a visually plausible way.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ashikhmin, M.: Synthesizing natural textures. In: Proc. ACM Symposium on Interactive 3D Graphics, pp. 217–226. Research Triangle Park, NC (2001)
Chan, T.F., Shen, J.: Non-texture inpainting by curvature-driven diffusions (CDD). Journal of Visual Communication and Image Representation 4(12), 436–449 (2001)
Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: Proc. ACM Conference Computer Graphics, SIGGRAPH, New Orleans, LU, pp. 417–424 (July 2000), http://mountains.ece.umn.edu/
de Bonet, J.S.: Multi resolution sampling procedure for analysis and synthesis of texture images. In: Proc. ACM Conference Computer Graphics, SIGGRAPH, vol. 31, pp. 361–368 (1997)
Harrison, P.: A non-hierarchical procedure for re-synthesis of complex texture. In: Proc. Int. Conf. Central Europe Computer Graphics, Visualization and Computer Vision, Plzen, Czech Republic (February 2001)
Criminisi, A., Pérez, P., Toyama, K.: Region Filling and Object Removal by Exemplar-Based Image Inpainting, Microsoft Research, Cambridge (UK) and Redmond (US)
Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C.: Image inpainting. In: Proc. ACM Conference Computer Graphics, SIGGRAPH, New Orleans, LU, pp. 417–424 (July 2000)
Bertalmio, M., Vese, L., Sapiro, G., Osher, S.: Simultaneous structure and texture image inpainting. In: Proc. Conference Computer Vision Pattern Recognition, Madison, WI (2003)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing
Rutherford, H.: A Practial Introduction to Image Processing using Java. Pearson University
Hertzmann, A., Jacobs, C., Oliver, N., Curless, B., Salesin, D.: Image analogies. In: Proc. ACM Conf. Comp. Graphics, SIGGRAPH, Eugene Fiume (August 2001)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Padmavathi, S., Soman, K.P., Aarthi, R. (2013). Image Restoration Using Knowledge from the Image. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-31552-7_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31551-0
Online ISBN: 978-3-642-31552-7
eBook Packages: EngineeringEngineering (R0)