COLOR IMAGE RECONSTRUCTION FROM NONUNIFORM SPARSE SAMPLES USING A THIN PLATE MODEL

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dc.contributor.authorMetaxas, Dimitrisen_US
dc.contributor.authorMilios, Evangelosen_US
dc.date.accessioned2015-10-05T07:56:30Z
dc.date.available2015-10-05T07:56:30Z
dc.date.issued1990en_US
dc.description.abstractIn this paper we solve the problem of reconstructing a color image from sparse, noisy, and nonuniformly distributed color measurements. We apply a method for reconstructing a surface from sparse depth measurements to each of the R, G and B components of the color data, by treating each as a surface, with depth measurements being the R, G and B values. We apply this method to the reconstruction of nonuniformly distributed sparse color data from even 12.5% of the pixels, if no discontinuities are given and from 6.25% of the pixels, if the discontinuities are given. Also we present results of reconstructing a corrupted version of the original image with Gaussian noise of zero-mean and standard deviation 30 from 25% of the data, for color levels between 0 and 255. The applicability of the method is independent of the choice of the color space used.en_US
dc.description.seriesinformationEG 1990-Technical Papersen_US
dc.identifier.doi10.2312/egtp.19901006en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/egtp.19901006en_US
dc.publisherEurographics Associationen_US
dc.titleCOLOR IMAGE RECONSTRUCTION FROM NONUNIFORM SPARSE SAMPLES USING A THIN PLATE MODELen_US
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EG1990 Proceedings (Technical Papers)