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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