IEIE Transactions on Smart Processing and Computing
- Volume 1 Issue 3
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- Pages.133-142
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- 2012
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- 2287-5255(eISSN)
A Saliency-Based Focusing Region Selection Method for Robust Auto-Focusing
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Jeon, Jaehwan
(Department of Image, Chung-Ang University) ;
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Cho, Changhun
(Department of Image, Chung-Ang University) ;
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Paik, Joonki
(Department of Image, Chung-Ang University)
- Received : 2012.10.14
- Accepted : 2012.12.21
- Published : 2012.12.31
Abstract
This paper presents a salient region detection algorithm for auto-focusing based on the characteristics of a human's visual attention. To describe the saliency at the local, regional, and global levels, this paper proposes a set of novel features including multi-scale local contrast, variance, center-surround entropy, and closeness to the center. Those features are then prioritized to produce a saliency map. The major advantage of the proposed approach is twofold; i) robustness to changes in focus and ii) low computational complexity. The experimental results showed that the proposed method outperforms the existing low-level feature-based methods in the sense of both robustness and accuracy for auto-focusing.