Paper
25 February 2014 Parametric rational unsharp masking for image enhancement
Changzhe Yin, Yicong Zhou, Sos Agaian, C. L. Philip Chen
Author Affiliations +
Proceedings Volume 9019, Image Processing: Algorithms and Systems XII; 90190W (2014) https://doi.org/10.1117/12.2037520
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
Unsharp masking is an effective enhancement tool to improve the visual quality of fine details in images. However, it also amplifies noisy and over-enhances steep edges. To address this problem, this paper proposes a parametric rational unsharp masking. It utilizes the horizontal and vertical gain factors to enhance image details in two directions independently. Experiments and comparisons are provided to demonstrate its excellent enhancement performance.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Changzhe Yin, Yicong Zhou, Sos Agaian, and C. L. Philip Chen "Parametric rational unsharp masking for image enhancement", Proc. SPIE 9019, Image Processing: Algorithms and Systems XII, 90190W (25 February 2014); https://doi.org/10.1117/12.2037520
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Cited by 1 scholarly publication.
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KEYWORDS
Image enhancement

Image quality

Visualization

Image processing

Data modeling

Feature extraction

Image contrast enhancement

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