Extension of Point Redistribution Method Based on Probability Distribution to Monochromatic Multi-Valued Stippling and Color Stippling Images

Kohei Inoue, Kiichi Urahama

Research output: Contribution to journalArticle

Abstract

Stippling is a simple non-photorealistic rendering (NPR) method. NPR stippling images are monochromatic binary images, which are made up of black dots distributed over white backgrounds. In this paper, we extend the composition and present methods for producing monochromatic multi-valued stippling and color stippling images. Our method is based on the scheme of point redistribution according to probability distributions presented by Secord et al. We extend their scheme and apply it to stippling with multi-valued dots over multi-valued backgrounds and to color images. Additionally, we develope a technique for improving the detail description by varying the dot sizes according to the gradient of tonal intensities of the input images.

Original languageEnglish
Pages (from-to)1279-1283
Number of pages5
JournalKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
Volume57
Issue number10
DOIs
Publication statusPublished - Jan 1 2003

Fingerprint

Probability distributions
Color
Binary images
Chemical analysis

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

@article{caabc15f63ef4adab3892ffacf4ef856,
title = "Extension of Point Redistribution Method Based on Probability Distribution to Monochromatic Multi-Valued Stippling and Color Stippling Images",
abstract = "Stippling is a simple non-photorealistic rendering (NPR) method. NPR stippling images are monochromatic binary images, which are made up of black dots distributed over white backgrounds. In this paper, we extend the composition and present methods for producing monochromatic multi-valued stippling and color stippling images. Our method is based on the scheme of point redistribution according to probability distributions presented by Secord et al. We extend their scheme and apply it to stippling with multi-valued dots over multi-valued backgrounds and to color images. Additionally, we develope a technique for improving the detail description by varying the dot sizes according to the gradient of tonal intensities of the input images.",
author = "Kohei Inoue and Kiichi Urahama",
year = "2003",
month = "1",
day = "1",
doi = "10.3169/itej.57.1279",
language = "English",
volume = "57",
pages = "1279--1283",
journal = "Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers",
issn = "1342-6907",
publisher = "Institute of Image Information and Television Engineers",
number = "10",

}

TY - JOUR

T1 - Extension of Point Redistribution Method Based on Probability Distribution to Monochromatic Multi-Valued Stippling and Color Stippling Images

AU - Inoue, Kohei

AU - Urahama, Kiichi

PY - 2003/1/1

Y1 - 2003/1/1

N2 - Stippling is a simple non-photorealistic rendering (NPR) method. NPR stippling images are monochromatic binary images, which are made up of black dots distributed over white backgrounds. In this paper, we extend the composition and present methods for producing monochromatic multi-valued stippling and color stippling images. Our method is based on the scheme of point redistribution according to probability distributions presented by Secord et al. We extend their scheme and apply it to stippling with multi-valued dots over multi-valued backgrounds and to color images. Additionally, we develope a technique for improving the detail description by varying the dot sizes according to the gradient of tonal intensities of the input images.

AB - Stippling is a simple non-photorealistic rendering (NPR) method. NPR stippling images are monochromatic binary images, which are made up of black dots distributed over white backgrounds. In this paper, we extend the composition and present methods for producing monochromatic multi-valued stippling and color stippling images. Our method is based on the scheme of point redistribution according to probability distributions presented by Secord et al. We extend their scheme and apply it to stippling with multi-valued dots over multi-valued backgrounds and to color images. Additionally, we develope a technique for improving the detail description by varying the dot sizes according to the gradient of tonal intensities of the input images.

UR - http://www.scopus.com/inward/record.url?scp=0345257873&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0345257873&partnerID=8YFLogxK

U2 - 10.3169/itej.57.1279

DO - 10.3169/itej.57.1279

M3 - Article

AN - SCOPUS:0345257873

VL - 57

SP - 1279

EP - 1283

JO - Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers

JF - Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers

SN - 1342-6907

IS - 10

ER -