Abstract
Restoring damaged images is an important problem in image processing and has been studied for applications such as inpainting missing regions, art restoration. In this work, we consider a modified (fuzzy transform) F-transform for restoration of damages such as holes, scratches. By utilizing weights calculated from known image regions using local variance from patches, we modify the classical F-transform to handle the missing regions effectively with edge preservation and local smoothness. Comparison with interpolation - nearest neighbor, bilinear and modern inpainting - Navier - Stokes, fast-marching methods illustrate that by using our proposed modified F-transform we obtain better results.
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Acknowledgments
This work was done while the first author was visiting Institute for Pure and Applied Mathematics (IPAM), University of California Los Angeles (UCLA), USA. The first author thanks the IPAM institute for their great hospitality and support during the visit.
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Prasath, V.B.S., Delhibabu, R. (2015). Image Inpainting with Modified F-Transform. In: Panigrahi, B., Suganthan, P., Das, S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2014. Lecture Notes in Computer Science(), vol 8947. Springer, Cham. https://doi.org/10.1007/978-3-319-20294-5_73
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DOI: https://doi.org/10.1007/978-3-319-20294-5_73
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