Sparse codes as Alpha Matte

Jubin Johnson, Deepu Rajan and Hisham Cholakkal

In Proceedings British Machine Vision Conference 2014


In this paper, image matting is cast as a sparse coding problem wherein the sparse codes directly give the estimate of the alpha matte. Hence, there is no need to use the matting equation that restricts the estimate of alpha from a single pair of foreground (F) and background (B) samples. A probabilistic segmentation provides a confidence value on the pixel belonging to F or B, based on which a dictionary is formed for use in sparse coding. This allows the estimate of alpha from more than just one pair of (F, B) samples. Experimental results on a benchmark dataset show the proposed method performs close to state-of-the-art methods.


Poster Session


Extended Abstract (PDF, 1 page, 1.2M)
Paper (PDF, 11 pages, 4.8M)
Bibtex File


Jubin Johnson, Deepu Rajan, and Hisham Cholakkal. Sparse codes as Alpha Matte. Proceedings of the British Machine Vision Conference. BMVA Press, September 2014.


	title = {Sparse codes as Alpha Matte},
	author = {Johnson, Jubin and Rajan, Deepu and Cholakkal, Hisham},
	year = {2014},
	booktitle = {Proceedings of the British Machine Vision Conference},
	publisher = {BMVA Press},
	editors = {Valstar, Michel and French, Andrew and Pridmore, Tony}
	doi = { }