Image matting is a key technique for image and video editing composition. Conventionally, deep learning approaches take the whole input an associated trimap to infer alpha matte using convolutional neural networks. Such set state-of-the-arts in matting; however, they may fail real-world applications due hardware limitations, since images are mostly of very high resolution. In this paper, we pro...

We consider a multi-zone segmentation of a single image when user-supplied seeds are provided in each region. We view this task as a statistical transductive inference, in which some pixels are already associated with given zones and the remaining ones need to be classified. Our method relies on the Laplacian graph regularizer, a powerful manifold-learning tool that is based on the estimation o...

This work addresses the problem of video matting, that is extracting the opacity-layer of a foreground object from a video sequence. We introduce the notion of alpha-flow which corresponds to the flow in the opacity layer. The idea is derived from the process of rotoscoping, where a user-supplied object mask is smoothly interpolated between keyframes while preserving its correspondence with the...

In this paper, an image cloning method called arbitrary cloning is presented, in which image matting and Poisson image editing techniques are applied. The object boundary is extracted through image matting technique while Poisson equation is solved to achieve natural result for seamless cloning. Compared with existing techniques, the proposed approach gains a great deal of advantages: On the on...

1566-2535/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.inffus.2011.07.001 ⇑ Corresponding author. Tel.: +86 731 88822924. E-mail addresses: [email protected] (Shutao (X. Kang), [email protected] (J. Hu), yangbin01420 In this paper, we address the problem of fusing multi-focus images in dynamic scenes. The proposed approach consists of three main steps: first, the focus informatio...

Mining interesting objects with trimap guidance and fusing multi-level features are two important issues for trimap-based matting. For feature mining, existing methods simply feed trimaps to an encoder network mine evenly in different regions a decoding module, which lacks efficient effective way pointed out by trimaps. emerging content-based fusion, most matting only focus on local lack the of...

Given an image, digital matting consists in extracting a foreground element from the background. Standard methods are initialized with a trimap, a partition of the image into three regions: a definite foreground, a definite background, and a blended region where pixels are considered as a mixture of foreground and background colors. Recovering these colors and the proportion of mixture between ...

Matting is the process of pulling an alpha and foreground from an image or video sequence. It is used for compositing the foreground objects into different scene. It has an important role in film and video production; it enables directors to embed actors in any world such as world that exists only in our imagination. There are several techniques that can be used to pull the matte such as Poisso...

In this paper we present a novel approach for capturing the environment matte of a scene. We impose no restrictions on material properties of the objects in the captured scene and exploit scene characteristics (e.g. material properties and self-shadowing) to minimize recording time and to bound the error. Using a CRT monitor, wavelet patterns are emitted onto the scene in order of importance to...