Reconstructing missing data in very high resolution (VHR) multispectral images represents a complex image processing challenge. In this paper, we face this problem through a novel solution based on inpainting. Inpainting is a technique to reconstruct missing regions in a given image by propagating the spectro-geometrical information retrieved from the remaining parts of the image. Our proposed solution relies on the idea to formulate the inpainting process under a multiresolution processing scheme. Experiments conducted on a VHR image are reported and discussed. © 2011 IEEE.
Multiresolution Inpainting for Reconstruction of Missing data in VHR Images
Lorenzi, Luca;Melgani, Farid;
2011-01-01
Abstract
Reconstructing missing data in very high resolution (VHR) multispectral images represents a complex image processing challenge. In this paper, we face this problem through a novel solution based on inpainting. Inpainting is a technique to reconstruct missing regions in a given image by propagating the spectro-geometrical information retrieved from the remaining parts of the image. Our proposed solution relies on the idea to formulate the inpainting process under a multiresolution processing scheme. Experiments conducted on a VHR image are reported and discussed. © 2011 IEEE.File in questo prodotto:
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