Abstract
We propose several algorithmic extensions to inpainting that have been proposed to the spatial domain by other authors and apply them to an inpainting technique in the wavelet domain. We also introduce a new merging stage. We show how these techniques can be used to remove large objects in complex outdoor scenes automatically. We evaluate our approach quantitatively against the aforementioned inpainting methods and show that our extensions measurably increase the inpainting quality.
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Vetter, S., Grzegorzek, M., Paulus, D. (2010). Wavelet-Based Inpainting for Object Removal from Image Series. In: Goesele, M., Roth, S., Kuijper, A., Schiele, B., Schindler, K. (eds) Pattern Recognition. DAGM 2010. Lecture Notes in Computer Science, vol 6376. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15986-2_35
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DOI: https://doi.org/10.1007/978-3-642-15986-2_35
Publisher Name: Springer, Berlin, Heidelberg
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