article

Manga colorization

Authors:

Tien-Tsin Wong,

Pheng-Ann HengAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 25, Issue 3

Pages 1214 - 1220

https://doi.org/10.1145/1141911.1142017

Published: 01 July 2006 Publication History

Abstract

This paper proposes a novel colorization technique that propagates color over regions exhibiting pattern-continuity as well as intensity-continuity. The proposed method works effectively on colorizing black-and-white manga which contains intensive amount of strokes, hatching, halftoning and screening. Such fine details and discontinuities in intensity introduce many difficulties to intensity-based colorization methods. Once the user scribbles on the drawing, a local, statistical based pattern feature obtained with Gabor wavelet filters is applied to measure the pattern-continuity. The boundary is then propagated by the level set method that monitors the pattern-continuity. Regions with open boundaries or multiple disjointed regions with similar patterns can be sensibly segmented by a single scribble. With the segmented regions, various colorization techniques can be applied to replace colors, colorize with stroke preservation, or even convert pattern to shading. Several results are shown to demonstrate the effectiveness and convenience of the proposed method.

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Cited By

Zhao WWang LDong MCai Y(2025)CSPDAE: Colorization via SuperPixel Downsampler Denoising AutoEncoder towards enhanced color structural clarityNeurocomputing10.1016/j.neucom.2024.129028618(129028)Online publication date: Feb-2025
https://doi.org/10.1016/j.neucom.2024.129028
Anwar STahir MLi CMian AKhan FMuzaffar A(2025)Image colorization: A survey and datasetInformation Fusion10.1016/j.inffus.2024.102720114(102720)Online publication date: Feb-2025
https://doi.org/10.1016/j.inffus.2024.102720
Li SMa DDing YXian YZhang T(2024)DBSF-Net: Infrared Image Colorization Based on the Generative Adversarial Model with Dual-Branch Feature Extraction and Spatial-Frequency-Domain DiscriminationRemote Sensing10.3390/rs1620376616:20(3766)Online publication date: 10-Oct-2024
https://doi.org/10.3390/rs16203766
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Index Terms

Manga colorization
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Interest point and salient region detections
      2. Computer vision tasks
  2. Computer graphics
    1. Image manipulation
    2. Shape modeling
2. Theory of computation
  1. Randomness, geometry and discrete structures

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 25, Issue 3

July 2006

742 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1141911

Issue’s Table of Contents

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 July 2006

Published in TOG Volume 25, Issue 3

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Cited By

Zhao WWang LDong MCai Y(2025)CSPDAE: Colorization via SuperPixel Downsampler Denoising AutoEncoder towards enhanced color structural clarityNeurocomputing10.1016/j.neucom.2024.129028618(129028)Online publication date: Feb-2025
https://doi.org/10.1016/j.neucom.2024.129028
Anwar STahir MLi CMian AKhan FMuzaffar A(2025)Image colorization: A survey and datasetInformation Fusion10.1016/j.inffus.2024.102720114(102720)Online publication date: Feb-2025
https://doi.org/10.1016/j.inffus.2024.102720
Li SMa DDing YXian YZhang T(2024)DBSF-Net: Infrared Image Colorization Based on the Generative Adversarial Model with Dual-Branch Feature Extraction and Spatial-Frequency-Domain DiscriminationRemote Sensing10.3390/rs1620376616:20(3766)Online publication date: 10-Oct-2024
https://doi.org/10.3390/rs16203766
Huang ZZhang MLiao J(2024)LVCD: Reference-based Lineart Video Colorization with Diffusion ModelsACM Transactions on Graphics10.1145/368791043:6(1-11)Online publication date: 19-Dec-2024
https://dl.acm.org/doi/10.1145/3687910
Du XZhou ZWu XWang YWang ZZheng YJin CCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)MultiColor: Image Colorization by Learning from Multiple Color SpacesProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3680726(6784-6792)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3680726
Wu HWang ZLi YLiu XLee T(2024)Suitable and Style-Consistent Multi-Texture Recommendation for Cartoon IllustrationsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/365251820:7(1-26)Online publication date: 12-Mar-2024
https://dl.acm.org/doi/10.1145/3652518
Bhatia APohl HHirzle TSeifi HHornbæk K(2024)Using the Visual Language of Comics to Alter Sensations in Augmented RealityProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642351(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642351
Scrivener DColdren EChien E(2024)Winding Number Features for Vector Sketch ColorizationComputer Graphics Forum10.1111/cgf.1514143:5Online publication date: 31-Jul-2024
https://doi.org/10.1111/cgf.15141
Cao YMeng XMok PLee TLiu XLi P(2024)AnimeDiffusion: Anime Diffusion ColorizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.335756830:10(6956-6969)Online publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3357568
Sun QNie YZhang QLi G(2024)Building Coarse to Fine Convex Hulls With Auxiliary Vertices for Palette-Based Image RecoloringIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.329638630:8(5581-5595)Online publication date: 1-Aug-2024
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