• Title/Summary/Keyword: Black/White Comics

Search Result 3, Processing Time 0.015 seconds

A Stylized Font Rendering System for Black/White Comic Book Generation (흑백 만화 제작을 위한 스타일 폰트 설계 시스템)

  • Lee, Jeong-Won;Ryu, Dong-Sung;Park, Soo-Hyun;Cho, Hwan-Gue
    • The KIPS Transactions:PartA
    • /
    • v.15A no.2
    • /
    • pp.75-86
    • /
    • 2008
  • Black/white comic rendering is one of the researches in the field of non-photorealistic rendering(NPR). Black/white comics have been produced manually as yet. But these previous systems require lots of time and manual work. So we propose the COmics Rendering system on VIdeo Stream (CORVIS) which transforms video streams into black/white comic cuts. Stylized font, one of comic representations, can be used to express onomatopoeic words and mimetic dialogue exaggeratively. But current comic generation systems do not provide enough effects of stylized font. This paper proposes a model for stylized fonts to express various effects. Effects of stylized fonts we proposed include geometric deformations. Thus we could represent stylized fonts on the still cut of movies and the background texture on a cuts of plain black/white comics. The final quality of our system produced is good enough to compare with manual black/white comics.

A Black and White Comics Generation Procedure for the Video Frame Image using Region Extension based on HSV Color Model (HSV 색상 모델과 영역 확장 기법을 이용한 동영상 프레임 이미지의 흑백 만화 카투닝 알고리즘)

  • Ryu, Dong-Sung;Cho, Hwan-Gue
    • Journal of KIISE:Computer Systems and Theory
    • /
    • v.35 no.12
    • /
    • pp.560-567
    • /
    • 2008
  • In this paper, we discuss a simple and straightforward binarization procedure which can generate black/white comics from the video frame image. Generally, the region of human's skin is colored white or light gray, while the dark region is filled with the irregular but regular patterns like hatching in most of the black/white comics. Note that it is not enough for simple threshold method to perform this work. Our procedure is decoupled into four processes. First, we use bilateral filter to suppress noise color variation and reserve boundaries. Then, we perform mean-shift segmentation for each similar colored pixels to be clustered. Third, the clustered regions are merged and extended by our region extension algorithm considering each color of their regions. Finally, we decide which pixels are on or off using by our dynamic binarization method based on the HSV color model. Our novel black/white cartooning procedure was so successful to render comic cuts from a well-known cinema in a resonable time and manual intervention.