UM-based image enhancement in low-light situations

Authors:
Shwu-Huey Yen;Chun-Hsien Lin;Hwei-Jen Lin;Jui-Chen Chien
Affiliations:
Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, Taiwan, Republic of China;Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, Taiwan, Republic of China;Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, Taiwan, Republic of China;Department of Computer Science and Information Engineering, Tamkang University, New Taipei City, Taiwan, Republic of China
Venue:
CSS'11 Proceedings of the 5th WSEAS international conference on Circuits, systems and signals
Year:
2011

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Abstract

Unsharp masking (UM) is an effective and popular method on image enhancement. However, it is sensitive to noise and tends to have over/under shooting problems. In this paper, we propose an improved UM-based technology for image enhancement. First, noises are detected and smoothed. Then, integrating the silhouette and crease edges (major and minor edges), we design an adaptive weighting method to enhance the contrast for edges. In this way, the major edges (silhouette) are sharpened more comparing to minor edges (crease). Hence, not only the over/under shooting problems are solved but the contrast on edges are properly enhanced. The proposed method has been compared to existing UM-based methods and the results are satisfying.