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The Image Matting Method with Zero-One Regularization

Image matting refers to the problem of accurately extracting foreground objects in images and video. The most recent work [11] and [7] in natural image matting relies on the local and manifold smoothness assumptions on foreground and background colors on which a cost function is established. The closed-form solution has been derived based on certain degree of user inputs. In this paper, we present a framework of formulating new regularization for robust solutions under the so-called zero-one regularisers. We also illustrate our new algorithm using the standard benchmark images and very comparable results have been obtained.