Inpainting
نویسندگان
چکیده
Given an image and a region Ω inside it, the inpainting problem consists in modifying the image values of the pixels in Ω so that this region does not stand out with respect to its surroundings. The purpose of inpainting might be to restore damaged portions of an image (e.g. an old photograph where folds and scratches have left image gaps) or to remove unwanted elements present in the image (e.g. a microphone appearing in a film frame.) See figure 1. The region Ω is always given by the user, so the localization of Ω is not part of the inpainting problem. Almost all inpainting algorithms treat Ω as a hard constraint, whereas some methods allow some relaxing of the boundaries ofΩ to obtain better results. This definition, given for a single-image problem, extends naturally to the multi-image case so this entry comprises both image and video inpainting. We do not however consider the problem of surface inpainting (e.g. how to fill holes in 3D scans.)
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