Inpainting large missing regions based on Seam Carving

Inpainting techniques are developed to recover missing image information. Existing inpainting approaches are: Partial Differential Equations Based Inpainting (PDE-BI) and Exemplar-Based Inpainting (EBI). PDE-BI methods used to fill in the missing information via information propagation from neighbou...

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Bibliographic Details
Published inEAI endorsed transactions on industrial networks and intelligent systems Vol. 5; no. 16; p. 156000
Main Authors Al-Jaberi, Ahmed, Jassim, Sabah, Al-Jawad, Naseer
Format Journal Article
LanguageEnglish
Published Ghent European Alliance for Innovation (EAI) 01.11.2018
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Summary:Inpainting techniques are developed to recover missing image information. Existing inpainting approaches are: Partial Differential Equations Based Inpainting (PDE-BI) and Exemplar-Based Inpainting (EBI). PDE-BI methods used to fill in the missing information via information propagation from neighbouring areas. However, it can only reconstruct successfully small missing regions that are surrounded by limited texture. However, EBI methods are used to recover large regions with richly-textured/structured areas around them, moreover, artefacts are likely to occur. This paper proposes a technique to reduce the missing region size based on seam carving approach, which enables EBI and PDE-BI to recover the missing part. In our proposal, seam carving is used to reduce only the size of the missing region, to be subsequently recovered using EBI method. The added extra paths resulting from the added seams is repaired using PDE-BI. This method outperformed the state-of-art EBI methods.
ISSN:2410-0218
2410-0218
DOI:10.4108/eai.29-11-2018.156000