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

Toru Hiraoka, Kohei Inoue

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)961-966
    Number of pages6
    JournalICIC Express Letters
    Volume15
    Issue number9
    DOIs
    Publication statusPublished - Sep 2021

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

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