14 May 2018 Colourizing monochrome images
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Abstract
The automatic restoration of image colours (inpainting) is an interesting challenge in computer vision. The aim is to restore/recover missing colour information in a region based on the surrounding region information in a way that looks acceptable to the human eye. We investigate two functional formulas based on the difference between the directional derivative of the gradient (and the Laplacian) of two channels. The Euler-Langrage process applied to the two functional produces a nonlinear second order (and a nonlinear fourth order) PDE, the numerical solutions of which restore the colour to the region of interest. The first method extends an already established, but only for one specific colour space. We shall establish the effectiveness of the corresponding image inpainting schemes, in both the spatial and wavelet domains for 8 different colour spaces. We demonstrate the success of both schemes for a large number of natural images with better performance in comparison with the popular Poisson formula.
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Ahmed K. Al-Jaberi, Ahmed K. Al-Jaberi, Sabah A. Jassim, Sabah A. Jassim, Naseer Al-Jawad, Naseer Al-Jawad, } "Colourizing monochrome images", Proc. SPIE 10668, Mobile Multimedia/Image Processing, Security, and Applications 2018, 1066806 (14 May 2018); doi: 10.1117/12.2309938; https://doi.org/10.1117/12.2309938
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