A generation method of synthesized parallel-fine-curve-line images from two images

Toru Hiraoka, Kohei Inoue

    研究成果: ジャーナルへの寄稿学術誌査読

    抄録

    We have proposed a non-photorealistic rendering (NPR) method for generating parallel-fine-curve-line (PFCL) images using autocorrelation coefficients calculated from pixel values in the window from photographic images. PFCL patterns are uniquely determined by the characteristic of the conventional method and the change in density of photographic images. Therefore, we propose a method for synthesizing another PFCL patterns generated from other images into PFCL images. By conducting experiments using various images, we show that synthesized PFCL (S-PFCL) images are a new style of NPR and are more impressive than PFCL images.

    本文言語英語
    ページ(範囲)961-966
    ページ数6
    ジャーナルICIC Express Letters
    15
    9
    DOI
    出版ステータス出版済み - 9月 2021

    !!!All Science Journal Classification (ASJC) codes

    • 制御およびシステム工学
    • コンピュータ サイエンス(全般)

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