COLOR IMAGE RECONSTRUCTION FROM NONUNIFORM SPARSE SAMPLES USING A THIN PLATE MODEL
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Date
1990
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Eurographics Association
Abstract
In 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.
Description
@inproceedings{10.2312:egtp.19901006,
booktitle = {EG 1990-Technical Papers},
editor = {},
title = {{COLOR IMAGE RECONSTRUCTION FROM NONUNIFORM SPARSE SAMPLES USING A THIN PLATE MODEL}},
author = {Metaxas, Dimitris and Milios, Evangelos},
year = {1990},
publisher = {Eurographics Association},
ISSN = {1017-4656},
ISBN = {},
DOI = {10.2312/egtp.19901006}
}