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Proceedings Paper

An improved unsharp masking sharpening algorithm for image enhancement
Author(s): Ruya Guan; Yi Wan
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Paper Abstract

A new method is proposed on unsharp masking sharpening technique for image enhancement, and it suppresses the noise sensitivity widely existing in traditional unsharp masking sharpening algorithm. This algorithm can efficiently suppress the noise in relatively flat regions, it sharpens and enhances the regions which require sharpening and enhancement. In this paper, we use the different gradient weighting coefficients according to the weight distribution to process the different detailed regions. By taking advantage the characteristics of human vision, it efficiently enhances the particular region that is sensitive to the human eyes. Compared with several unsharp masking sharpening algorithms, this algorithm can efficiently suppress the noise in the image, smooth the relatively flat region, and enhance the details.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100332A (29 August 2016); doi: 10.1117/12.2243854
Show Author Affiliations
Ruya Guan, Lanzhou Univ. (China)
Yi Wan, Lanzhou Univ. (China)


Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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