Abstract
PDE-based image inpainting efficiently recovers structured features. We expand this to textures. We adjust the coordinates to proper directions, and embed in anisotropy terms the brightness correlation between pixels adjoining on the new grid. A simple elliptic equation then repairs both oriented textures and edges by one uniform, automated algorithm. Extensive experimental results on a variety of standard natural images show the technique’s generality and stability.
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Niu, Y., Poston, T. (2005). Using an Oriented PDE to Repair Image Textures. In: Paragios, N., Faugeras, O., Chan, T., Schnörr, C. (eds) Variational, Geometric, and Level Set Methods in Computer Vision. VLSM 2005. Lecture Notes in Computer Science, vol 3752. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11567646_6
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DOI: https://doi.org/10.1007/11567646_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29348-4
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