Paper
24 January 2012 A sharpness measure on automatically selected edge segments
Silvia Corchs, Francesca Gasparini, Fabrizio Marini, Raimondo Schettini
Author Affiliations +
Proceedings Volume 8293, Image Quality and System Performance IX; 82930A (2012) https://doi.org/10.1117/12.908473
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
We address the problem of image quality assessment for natural images, focusing on No Reference (NR) assessment methods for sharpness. The metrics proposed in the literature are based on edge pixel measures that significantly suffer the presence of noise. In this work we present an automatic method that selects edge segments, making it possible to evaluate sharpness on more reliable data. To reduce the noise influence, we also propose a new sharpness metric for natural images.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Silvia Corchs, Francesca Gasparini, Fabrizio Marini, and Raimondo Schettini "A sharpness measure on automatically selected edge segments", Proc. SPIE 8293, Image Quality and System Performance IX, 82930A (24 January 2012); https://doi.org/10.1117/12.908473
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Electronic support measures

Image quality

Distortion

Image processing algorithms and systems

Visualization

Gaussian filters

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