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.
Salem, Nermin Mohamed Fawzy PhD
"A Survey on Various Image Inpainting Techniques,"
Future Engineering Journal: Vol. 2:
2, Article 1.
Available at: https://digitalcommons.aaru.edu.jo/fej/vol2/iss2/1