Litcius/Paper detail

A Survey on Various Image Inpainting T arious Image Inpainting Techniques echniques

Nermin M. Salem

2021Future Engineering Journal /Future Engineering Journal10 citationsDOI

Abstract

Over the decades' researchers have studied the image inpainting problem intensively due to its high significance and effectiveness in various image processing applications such as people and object security, object removal, face editing applications. Image inpainting is defined as the process of completing or removing a missing region in images. It is considered one of the most challenging topics in the image processing field, although, it requires a deep understanding of the image details in terms of texture and structure. In this paper, a survey of most image inpainting techniques is presented and summarized with comparisons including the merits and demerits of each technique which could help researchers in evaluating their proposed techniques against.

Topics & Concepts

InpaintingArtificial intelligenceComputer visionImage (mathematics)Computer scienceFace (sociological concept)Process (computing)Image processingField (mathematics)Object (grammar)Image textureImage restorationPattern recognition (psychology)MathematicsPure mathematicsSociologySocial scienceOperating systemGenerative Adversarial Networks and Image SynthesisAdvanced Image Processing TechniquesImage Enhancement Techniques