Image Enlargement by Nonlinear Frequency Extrapolation with Morphological Operators

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  • SHIMIZU Masayuki
    Graduate School of Engineering Science, Osaka University
  • NAKASHIZUKA Makoto
    Graduate School of Engineering Science, Osaka University The Institute of Electronics, Information and Communication Engineers
  • IIGUNI Youji
    Graduate School of Engineering Science, Osaka University The Institute of Electronics, Information and Communication Engineers

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Abstract

In this paper, we propose an image enlargement method by using morphological operators. Our enlargement method is based on the nonlinear frequency extrapolation method (Greenspan et al., 2000) by using a Laplacian pyramid image representation. In this method, the sampling process of input images is modeled as the Laplacian pyramid. A high resolution image is obtained with the finer scale Laplacian that is extrapolated by a nonlinear operation from a low resolution Laplacian. In this paper, we propose a novel nonlinear operation for extrapolation of the finer scale Laplacian. Our nonlinear operation is realized by morphological operators and is capable of generating the finer scale Laplacian, the amplitude of which is proportional to contrasts of edges that appear in the low resolution image. In experiments, the enlargement results given by the proposed method are demonstrated. Compared with the Greenspan's method, the proposed method can recover sharp intensity transients of image edges with small artifacts.

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