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Poisson matting
Abstract
In this paper, we formulate the problem of natural image matting as one of solving Poisson equations with the matte gradient field. Our approach, which we call Poisson matting , has the following advantages. First, the matte is directly reconstructed from a continuous matte gradient field by solving Poisson equations using boundary information from a user-supplied trimap. Second, by interactively manipulating the matte gradient field using a number of filtering tools, the user can further improve Poisson matting results locally until he or she is satisfied. The modified local result is seamlessly integrated into the final result. Experiments on many complex natural images demonstrate that Poisson matting can generate good matting results that are not possible using existing matting techniques.
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Citations
Cited by
He, K., Sun, J., & Tang, X. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.213 · Cited by 5,546
Self-citationA Closed-Form Solution to Natural Image Matting
Levin, A., Lischinski, D., & Weiss, Y. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1177 · Cited by 1,616
A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting
Bai, X., & Sapiro, G. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408931 · Cited by 438
Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis
Lin, Z., He, J., Tang, X., & Tang, C.-K. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2009.03.019 · Cited by 395
Self-citationA perceptual framework for contrast processing of high dynamic range images
Mantiuk, R., Myszkowski, K., & Seidel, H.-P. (2005) · Proceedings of the 2nd symposium on Applied perception in graphics and visualization · doi:10.1145/1080402.1080418 · Cited by 318
Metadata
- Authors
- Sun, J., Jia, J., Tang, C.-K., & Shum, H.-Y.
- Venue
- ACM Transactions on Graphics
- Published
- 2004-08
- Volume
- 23
- Issue
- 3
- Pages
- 315-321
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2293703294
- Cited by
- 583
- References
- 0
- FWCI
- 66.65
- Type
- journal article
- Language
- en
- Open access
- closed
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