Characteristic Line Rendering Method of Ink Painting Based on Adaptive Multiscale Morphological Filtering

This paper introduces an innovative technique to render different traces located in ink artwork, leveraging adaptive multiscale morphological filtering generation. Ink portray, a traditional Oriental artwork form, is renowned for its precise expression via traces and the use of ink. Within the realm of digitization, authentically reproducing these unique progressive elements poses a huge undertaking. Our approach goals to faithfully simulate ink portray’s line tendencies while retaining its revolutionary appeal and cultural importance, using device studying and image processing strategies. We display the efficacy of our technique in rendering numerous types of ink-drawn lines. The results exhibit that our method adeptly replicates the street fashion determined in conventional ink portray. Furthermore, it complements the creative expression of virtual ink portray at the equal time as retaining a high degree of visible authenticity. The adaptable nature of our technique renders it appropriate for numerous creative patterns and varied software situations. This research not only charts a powerful technical pathway for digitally rendering ink artwork but also offers an easy mind-set on amalgamating traditional artwork with modern era. It is predicted to make a widespread impact within the geographical areas of resourceful advent and cultural data maintenance.

Authors

Institutions

Publication Details

Journal
International Journal of High Speed Electronics and Systems
Published
2025-06-13
DOI
https://doi.org/10.1142/s0129156425406291
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characteristic Line Rendering Method of Ink Painting Based on Adaptive Multiscale Morphological Filtering

Zengyu Liu, Youshuang Zhao
International Journal of High Speed Electronics and Systems
Color Science and Applications
article

Characteristic Line Rendering Method of Ink Painting Based on Adaptive Multiscale Morphological Filtering

Zengyu Liu, Youshuang Zhao
article en

Abstract

This paper introduces an innovative technique to render different traces located in ink artwork, leveraging adaptive multiscale morphological filtering generation. Ink portray, a traditional Oriental artwork form, is renowned for its precise expression via traces and the use of ink. Within the realm of digitization, authentically reproducing these unique progressive elements poses a huge undertaking. Our approach goals to faithfully simulate ink portray’s line tendencies while retaining its revolutionary appeal and cultural importance, using device studying and image processing strategies. We display the efficacy of our technique in rendering numerous types of ink-drawn lines. The results exhibit that our method adeptly replicates the street fashion determined in conventional ink portray. Furthermore, it complements the creative expression of virtual ink portray at the equal time as retaining a high degree of visible authenticity. The adaptable nature of our technique renders it appropriate for numerous creative patterns and varied software situations. This research not only charts a powerful technical pathway for digitally rendering ink artwork but also offers an easy mind-set on amalgamating traditional artwork with modern era. It is predicted to make a widespread impact within the geographical areas of resourceful advent and cultural data maintenance.

International Journal of High Speed Electronics and SystemsVol. 35(04)
Zhengzhou University of Aeronautics (CN), Jiaozuo University (CN)
Openalex Percentile: Top 90%
Color Science and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.