Abstract:

Abstract In this paper, we introduce a novel method for filling-in the missing information in an image. The method presented here is able to reconstruct the structure as well as texture in images. The inpainting is done in such a manner, that it fills the damaged region or “holes” in an image, with surrounding color and texture information. The algorithm is based on solving Laplace equation with Dirichlet boundary conditions, incorporated with texture filling, and its main asset is the bounded search window. The filling in the missing area is done in the order from outside to inside depending on the priority, which is calculated from the confidence value of the pixels. This algorithm is very simple to implement and fast. The paper also demonstrates the effectiveness of the algorithm with a number of results on images. Applications of this technique include the restoration of damaged images and removal of objects (for producing special-effects) and superimposed text from images.

 

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