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An adaptive edge detection based colorization algorithm and its applications

Published: 06 November 2005 Publication History

Abstract

Colorization is a computer-assisted process for adding colors to grayscale images or movies. It can be viewed as a process for assigning a three-dimensional color vector (YUV or RGB) to each pixel of a grayscale image. In previous works, with some color hints the resultant chrominance value varies linearly with that of the luminance. However, it is easy to find that existing methods may introduce obvious color bleeding, especially, around region boundaries. It then needs extra human-assistance to fix these artifacts, which limits its practicability. Facing such a challenging issue, we introduce a general and fast colorization methodology with the aid of an adaptive edge detection scheme. By extracting reliable edge information, the proposed approach may prevent the colorization process from bleeding over object boundaries. Next, integration of the proposed fast colorization scheme to a scribble-based colorization system, a modified color transferring system and a novel chrominance coding approach are investigated. In our experiments, each system exhibits obvious improvement as compared to those corresponding previous works.

References

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Anat, L., Dani, L., and Yair, W. Colorization using optimization. Proc. of SIGGRAPH (Aug), 689--693.
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Erik, R., Michael, A., Bruce, G., and Peter, S. Color transfer between images. IEEE Computer Graphics and Applications (2001) 34--41.
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Welsh, T., Ashikhmin, M., and Mueller, K. Transferring color to greyscale images. ACM Transactions on Graphics 21, 3 (2002).
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Efros, A. A.and Freeman, W.T. Image Quilting for Texture Synthesis and Transfer. Proc. of ACM SIGGRAPH 2001, 341--346.
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Andreas, K., and Mongi, A. Detection and classification of edges in color images. IEEE Signal Processing Magazine (Jan 2005), 64--73.
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Dorin, C., and Peter, M. Robust analysis of feature spaces: color image segmentation. Proc. of CVPR, 1997.
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Gonzalez, R. C. and Wintz, P. Digital Image Processing. Addison-Wesley Publishing, Reading MA, 1987.

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  • (2024)Efficient Real-Time Video Colorization on Low-End CPUs via Pruning and QuantizationProceedings of the 11th International Conference on Networking, Systems, and Security10.1145/3704522.3704536(146-153)Online publication date: 19-Dec-2024
  • (2024)A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed ICESat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep LearningEarth and Space Science10.1029/2024EA00373511:11Online publication date: 29-Oct-2024
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cover image ACM Conferences
MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia
November 2005
1110 pages
ISBN:1595930442
DOI:10.1145/1101149
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

New York, NY, United States

Publication History

Published: 06 November 2005

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Author Tags

  1. chrominance coding
  2. color transfer
  3. colorization
  4. re-coloring

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;
Overall Acceptance Rate 1,291 of 5,076 submissions, 25%

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Cited By

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  • (2025)Image colorization: A survey and datasetInformation Fusion10.1016/j.inffus.2024.102720114(102720)Online publication date: Feb-2025
  • (2024)Efficient Real-Time Video Colorization on Low-End CPUs via Pruning and QuantizationProceedings of the 11th International Conference on Networking, Systems, and Security10.1145/3704522.3704536(146-153)Online publication date: 19-Dec-2024
  • (2024)A Scalable, Cloud‐Based Workflow for Spectrally‐Attributed ICESat‐2 Bathymetry With Application to Benthic Habitat Mapping Using Deep LearningEarth and Space Science10.1029/2024EA00373511:11Online publication date: 29-Oct-2024
  • (2024)MMC: Multi-modal colorization of images using textual descriptionSignal, Image and Video Processing10.1007/s11760-024-03650-y19:1Online publication date: 9-Dec-2024
  • (2024)Msc-Net: multi-stage colorization network for real-world images with specular highlightsThe Visual Computer10.1007/s00371-024-03711-wOnline publication date: 14-Nov-2024
  • (2024)$$\lambda $$-Color: Amplifying Long-Range Dependencies for Image ColorizationPattern Recognition10.1007/978-3-031-78312-8_12(172-187)Online publication date: 4-Dec-2024
  • (2023)Thangka Sketch Colorization Based on Multi-Level Adaptive-Instance-Normalized Color Fusion and Skip Connection AttentionElectronics10.3390/electronics1207174512:7(1745)Online publication date: 6-Apr-2023
  • (2023)Systematic Review of Aggregation Functions Applied to Image Edge DetectionAxioms10.3390/axioms1204033012:4(330)Online publication date: 28-Mar-2023
  • (2023)Image Colorization with Fast Fourier ConvolutionProceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence10.1145/3594409.3594431(60-65)Online publication date: 3-Mar-2023
  • (2023)Language-based Photo Color Adjustment for Graphic DesignsACM Transactions on Graphics10.1145/359211142:4(1-16)Online publication date: 26-Jul-2023
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