2 February 2012 Smooth image inpainting by least square oriented edge prediction
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Abstract
This paper introduces a new spatial edge oriented algorithm for automatic digital inpainting. The approach is based on the Laguerre Gauss analysis of the structure information of the regions surrounding the damaged portions of the image, extrapolating in automatic way the gradient of the luminance and color in missing areas this estimation is made of a least square fitting algorithm from simplified edge lines that stood on the boundary of missing region. The reconstruction of the unknown parts is automatically obtained by a variational method that uses the predicted gradient information imposing smoothing constraints on luminance and color level. Experiments on a number of images show the effectiveness of the proposed algorithm in smooth areas, as well as in areas with edges and/or textured.
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E. Pallotti, E. Pallotti, L. Capodiferro, L. Capodiferro, F. Mangiatordi, F. Mangiatordi, P. Sità, P. Sità, } "Smooth image inpainting by least square oriented edge prediction", Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950H (2 February 2012); doi: 10.1117/12.908297; https://doi.org/10.1117/12.908297
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