arrow
Return

Using texture to complement color in image matting

delete2013-09-01
delete2
PRE
AI
E
Ehsan Shahrian
D
Deepu Rajan *
DOI:10.1016/j.imavis.2013.06.002delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Current image matting methods based on color sampling use color to distinguish between foreground and background pixels. However, they fail when the corresponding color distributions overlap. Other methods that define correlation between neighboring pixels based on color aim to propagate the opacity parameter a from known pixels to unknown pixels. However, strong edges of textured regions may block the propagation of alpha. In this paper, a new matting strategy is proposed that delivers an accurate matte by considering texture as a feature that can complement color even if the foreground and background color distributions overlap and the image is a complex one with highly textured regions. The texture feature is extracted in such a way as to increase distinction between foreground and background regions. An objective function containing color and texture components is optimized to find the best foreground and background pair among a set of candidate pairs. The effectiveness of proposed method is compared quantitatively as well as qualitatively with other matting methods by evaluating their results on a benchmark dataset and a set of complex images. The evaluations show that the proposed method presented the best among state of the art matting methods. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Alpha matting
Texture matte
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Image and Vision Computing cover
Image and Vision Computing
IF:
4.2
Papers:
4.0K
Citations:
6.7K

Organization

N
Nanyang Technological University
Scholars:
4.9W
Papers: 4.8W
Citations: 8.1W