Multiple Examplar-Based Inpainting
Abstract
Image Inpainting is a new area of research in the field of image processing which has gained wide popularity because of its large number of applications. Image inpainting technique has been widely used for reconstructing damaged old photographs and removing unwanted objects from images. The proposed multiple examplar-based method follows the two classical steps the filling order computation and the texture synthesis. The filling order computation defines a measure of priority for each patch in order to distinguish the structures from the textures. Classically, a high priority indicates the presence of structure. The priority of a patch is just given by a data and confidence term. In this paper we used the data term, a tensor-based and a sparsity-based data terms.
References
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