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Poisson image editing

Authors:

Patrick Pérez,

Michel Gangnet,

Andrew BlakeAuthors Info & Claims

SIGGRAPH '03: ACM SIGGRAPH 2003 Papers

Pages 313 - 318

https://doi.org/10.1145/1201775.882269

Published: 01 July 2003 Publication History

Abstract

Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions. The first set of tools permits the seamless importation of both opaque and transparent source image regions into a destination region. The second set is based on similar mathematical ideas and allows the user to modify the appearance of the image seamlessly, within a selected region. These changes can be arranged to affect the texture, the illumination, and the color of objects lying in the region, or to make tileable a rectangular selection.

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References

[1]

ADOBE©. 2002. Photoshop© 7.0 User Guide. Adobe Systems Incorporated.

[2]

BALLESTER, C., BERTALMIO, M., CASELLES, V., SAPIRO, G., AND VERDERA, J. 2001. Filling-in by Joint Interpolation of Vector Fields and Gray Levels. IEEE Trans. Image Processing 10, 8, 1200--1211.

Digital Library

[3]

BARRET, A., AND CHENEY, A. 2002. Object-Based Image Editing. ACM Transactions on Graphics 21, 3, 777--784.

Digital Library

[4]

BERTALMIO, M., SAPIRO, G., CASELLES, V., AND BALLESTER, C. 2000. Image Inpainting. In Proceedings of ACM SIGGRAPH 2000, ACM Press / ACM SIGGRAPH, New-York, E. Fiume, Ed., Computer Graphics Proceedings, Annual Conference Series, ACM, 417--424.

Digital Library

[5]

BOLZ, J., FARMER, I., GRINPSUN, E., AND SCHRÖDER, P. 2003. Sparse Matrix Solvers on the GPU: Conjugate Gradients and Multigrid. ACM Transactions on Graphics. to appear.

Digital Library

[6]

BORNARD, R., LECAN, E., LABORELLI, L., AND CHENOT, J.-H. 2002. Missing Data Correction in Still Images and Image Sequences. In Proc. ACM International Conference on Multimedia.

Digital Library

[7]

BURT, P., AND ADELSON, E. 1983. A Multiresolution Spline with Application to Image Mosaics. ACM Transactions on Graphics 2, 4, 217--236.

Digital Library

[8]

EFROS, A., AND FREEMAN, W. 2001. Image Quilting for Texture Synthesis and Transfer. In Proceedings of ACM SIGGRAPH 2001, ACM Press/ACM SIGGRAPH, New-York, E. Fiume, Ed., Computer Graphics Proceedings, Annual Conference Series, ACM, 341--346.

Digital Library

[9]

EFROS, A., AND LEUNG, T. 1999. Texture Synthesis by Non-Parametric Sampling. In Proc. Int. Conf. Computer Vision, 1033--1038.

Digital Library

[10]

ELDER, J., AND GOLDBERG, R. 2001. Image Editing in the Contour Domain. IEEE Trans. Pattern Anal. Machine Intell. 23, 3, 291--296.

Digital Library

[11]

FATTAL, R., LISCHINSKI, D., AND WERMAN, M. 2002. Gradient Domain High Dynamic Range Compression. ACM Transactions on Graphics 21, 3, 249--256.

Digital Library

[12]

HERTZMANN, A., JACOBS, C., OLIVER, N., CURLESS, B., AND SALESIN, D. 2001. Image Analogies. In Proceedings of SIGGRAPH 2001, ACM Press / ACM SIGGRAPH, New-York, E. Fiume, Ed., Computer Graphics Proceedings, Annual Conference Series, ACM, 327--340.

Digital Library

[13]

LAND, E., AND MCCANN, J. 1971. Ligthness and Retinex Theory. J. Opt. Soc. Amer. 61, 1--11.

[14]

LEWIS, J., 2001. Lifting Detail from Darkness. SIGGRAPH 2001 Tech Sketch.

[15]

MALLAT, S., AND ZHONG, S. 1992. Characterization of Signals from Multi-Scale Edges. IEEE Trans. Pattern Anal. Machine Intell. 14, 710--732.

Digital Library

Cited By

Aghayan Mashhady NAmirkhani A(2024)Improving the Accuracy of Road Damage Detectors Using Traditional Augmentations and Object Bounding Box AugmentationJournal of Iranian Association of Electrical and Electronics Engineers10.61186/jiaeee.21.3.13921:3(139-154)Online publication date: 1-Oct-2024
https://doi.org/10.61186/jiaeee.21.3.139
Mal DDöllinger NWolf EWenninger SBotsch MWienrich CLatoschik M(2024)Am I the odd one? Exploring (in)congruencies in the realism of avatars and virtual others in virtual realityFrontiers in Virtual Reality10.3389/frvir.2024.14170665Online publication date: 19-Jul-2024
https://doi.org/10.3389/frvir.2024.1417066
Xu ZXia YLiao Q(2024)A DOMAIN-DECOMPOSED VAE METHOD FOR BAYESIAN INVERSE PROBLEMSInternational Journal for Uncertainty Quantification10.1615/Int.J.UncertaintyQuantification.202304723614:3(67-95)Online publication date: 2024
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Index Terms

Poisson image editing
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Graphics input devices

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Published In

cover image ACM Conferences

SIGGRAPH '03: ACM SIGGRAPH 2003 Papers

July 2003

683 pages

ISBN:1581137095

DOI:10.1145/1201775

Conference Chair:
Alyn P. Rockwood
Colorado School of Mines

Copyright © 2003 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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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Published: 01 July 2003

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SIGGRAPH03: Special Interest Group on Computer Graphics and Interactive Techniques

July 27 - 31, 2003

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SIGGRAPH '03 Paper Acceptance Rate 81 of 424 submissions, 19%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Cited By

Aghayan Mashhady NAmirkhani A(2024)Improving the Accuracy of Road Damage Detectors Using Traditional Augmentations and Object Bounding Box AugmentationJournal of Iranian Association of Electrical and Electronics Engineers10.61186/jiaeee.21.3.13921:3(139-154)Online publication date: 1-Oct-2024
https://doi.org/10.61186/jiaeee.21.3.139
Mal DDöllinger NWolf EWenninger SBotsch MWienrich CLatoschik M(2024)Am I the odd one? Exploring (in)congruencies in the realism of avatars and virtual others in virtual realityFrontiers in Virtual Reality10.3389/frvir.2024.14170665Online publication date: 19-Jul-2024
https://doi.org/10.3389/frvir.2024.1417066
Xu ZXia YLiao Q(2024)A DOMAIN-DECOMPOSED VAE METHOD FOR BAYESIAN INVERSE PROBLEMSInternational Journal for Uncertainty Quantification10.1615/Int.J.UncertaintyQuantification.202304723614:3(67-95)Online publication date: 2024
https://doi.org/10.1615/Int.J.UncertaintyQuantification.2023047236
ZHANG QBAO XWU RNAKATA MGE Q(2024)Prohibited Item Detection Within X-Ray Security Inspection Images Based on an Improved Cascade NetworkIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences10.1587/transfun.2023MAP0007E107.A:5(813-824)Online publication date: 1-May-2024
https://doi.org/10.1587/transfun.2023MAP0007
Wang LMeng XLi DZhang XJi SGuo S(2024)DEEPFAKER: A Unified Evaluation Platform for Facial Deepfake and Detection ModelsACM Transactions on Privacy and Security10.1145/363491427:1(1-34)Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1145/3634914
Chen ZZhang ZYuan JXu YLiu L(2024)Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00849(8673-8682)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00849
Wang XNiu LCao JHong YZhang L(2024)Painterly Image Harmonization via Adversarial Residual Learning2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00506(5129-5138)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00506
Kim MLee JLee BIm SJin K(2024)Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00404(4075-4084)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00404
He HErfani SGong MKe Q(2024)Learning Transferable Representations for Image Anomaly Localization Using Dense Pretraining2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)10.1109/WACV57701.2024.00115(1102-1111)Online publication date: 3-Jan-2024
https://doi.org/10.1109/WACV57701.2024.00115
Huang KZhang FZhao JLi YDodgson N(2024)360 Stereo Image Composition With Depth AdaptionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332794330:9(6177-6191)Online publication date: Sep-2024
https://doi.org/10.1109/TVCG.2023.3327943
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