Super Resolution Based Image Inpainting

  Ankitha A,  Preetha D Souza

A new algorithm is proposed for removing large objects from digital images. The challenge is to fill in the hole that is left behind in a visually plausible way. This has been addressed by two classes of algorithms one is the “inpainting algorithms” for filling in small image gaps, and second is the “super resolution” techniques” for creating one enhanced resolution image. This paper presents a novel and efficient algorithm that combines the advantages of these two approaches. We first note that exemplar-based texture synthesis contains the essential process required to replicate both texture and structure; the success of structure propagation, however, is highly dependent on the order in which the filling proceeds. We propose a best-first algorithm in which the confidence in the synthesized pixel values is propagated in a manner similar to the propagation of information in inpainting.

Keywords- Exemplar-based inpainting framework, non parametric patch sampling.

Unique Identification Number - IJEDR1402007
Page Number(s) - 1358-1363
Pubished in - Volume 2 | Issue 2 | June 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Ankitha A,  Preetha D Souza,   "Super Resolution Based Image Inpainting", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.1358-1363, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402007.pdf