Abstract
Many Researchers proposed algorithms which restored damaged images. These methods cause textures broken while inpainting texture image with complex structure. Most of the existing inpainting techniques require knowing beforehand where those damaged pixels are, either given as a priori or detected by some preprocessing. However, in certain applications, such information is neither available nor can be reliably pre-detected, like noise from archived photographs. This paper propose a patch based adaptive inpainting model to solve these types of problems, i.e., a model of simultaneously identifying and recovering damaged pixels of the given image. The proposed inpainting method is applied to various challenging image restoration tasks, including recovering images that are blurry and damaged by scratches. The experimental result shows that it is effective in inpainting complex texture images.
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Subban, R., Muthukumar, S., Pasupathi, P. (2014). Image Restoration Based on Scene Adaptive Patch In-painting for Tampered Natural Scenes. In: Thampi, S., Abraham, A., Pal, S., Rodriguez, J. (eds) Recent Advances in Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-319-01778-5_7
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DOI: https://doi.org/10.1007/978-3-319-01778-5_7
Publisher Name: Springer, Cham
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