Poisson matting
Top Cited Papers
- 1 August 2004
- journal article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 23 (3) , 315-321
- https://doi.org/10.1145/1015706.1015721
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 techniquesKeywords
This publication has 10 references indexed in Scilit:
- Alpha channel estimation in high resolution images and image sequencesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Poisson image editingPublished by Association for Computing Machinery (ACM) ,2003
- Video background replacement without a blue screenPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Alpha estimation in natural imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Gradient domain high dynamic range compressionPublished by Association for Computing Machinery (ACM) ,2002
- Video matting of complex scenesPublished by Association for Computing Machinery (ACM) ,2002
- Image editing in the contour domainPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2001
- Blue screen mattingPublished by Association for Computing Machinery (ACM) ,1996
- AutoKeyPublished by Association for Computing Machinery (ACM) ,1995
- Scale-space and edge detection using anisotropic diffusionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990