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A hybrid defocused region segmentation approach using image matting

Authors
  • Amin, Benish1
  • Riaz, Muhammad Mohsin2
  • Ghafoor, Abdul1
  • 1 National University of Sciences and Technology (NUST), Islamabad, Pakistan , Islamabad (Pakistan)
  • 2 Center for Advanced Studies in Telecommunication (CAST), COMSATS, Islamabad, Pakistan , Islamabad (Pakistan)
Type
Published Article
Journal
Multidimensional Systems and Signal Processing
Publisher
Springer US
Publication Date
Mar 30, 2018
Volume
30
Issue
2
Pages
561–569
Identifiers
DOI: 10.1007/s11045-018-0570-8
Source
Springer Nature
Keywords
License
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Abstract

In this paper, a hybrid defocused region segmentation using image matting is proposed. The technique incorporates three sharpness metrics which are magnitude spectrum slope, local total variation and local binary patterns to identify the in-focus pixels in the image. Trimap is generated automatically using sharpness maps to obtain the prior information and matting Laplacian is applied to propagate the trimap to the entire image based on color similarities. Simulation results compared using visual and quantitative metrics show the strength of the proposed technique.

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