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...

Digital matting for extracting foreground objects from an image is an important process to generate special effects in the movie industry and the broadcasting center. Recently, a digital matting algorithm has been developed to create an alpha matte using a well-focused image generated from multiview images. However, this method could generate only a single-view alpha matte, even though it used ...

Interactive, efficient, methods of foreground extraction and alpha-matting are of increasing practical importance for digital image editing. Although several new approaches to this problem have recently been developed, many challenges remain. We propose a new technique based on random walks that has the following advantages: First, by leveraging a recent technique from manifold learning theory,...

Extracting complete portrait foregrounds from natural images is widely used in image editing and high-definition map generation. When making maps, it often necessary to matte passers-by guarantee their privacy. Current matting methods that do not require additional trimap inputs suffer inaccurate global predictions or blurred local details. Portrait matting, as a soft segmentation method, allow...

Many image editing operations, such as colorization, matting or deformation, can be performed by propagating user-defined sparse constraints (e.g. scribbles) to the rest of the image using content-aware weight functions. Image manipulation has been recently extended to simultaneous editing of multiple images of the same subject or scene by precomputing dense correspondences, where the content-a...

This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel of the foreground element. Our approach models both the foreground and background color distributions with spatiallyvarying sets of Gaussians, and assumes a fractional blending of the foreground and background colors t...

An algorithm of surveillance video synopsis is presented in this paper. At first, the detection method of moving object for surveillance video is proposed. Then the ROI (Region of Interest) of moving object is extracted and a noninteractive matting algorithm of moving object based on GrabCut is presented. These matting moving objects are placed without overlapping in a background image, so a fr...