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Proceedings Paper

A sharpness measure on automatically selected edge segments
Author(s): Silvia Corchs; Francesca Gasparini; Fabrizio Marini; Raimondo Schettini
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Paper 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.

Paper Details

Date Published: 24 January 2012
PDF: 8 pages
Proc. SPIE 8293, Image Quality and System Performance IX, 82930A (24 January 2012); doi: 10.1117/12.908473
Show Author Affiliations
Silvia Corchs, Univ. of Milano-Bicocca (Italy)
Francesca Gasparini, Univ. of Milano-Bicocca (Italy)
Fabrizio Marini, Univ. of Milano-Bicocca (Italy)
Raimondo Schettini, Univ. of Milano-Bicocca (Italy)

Published in SPIE Proceedings Vol. 8293:
Image Quality and System Performance IX
Frans Gaykema; Peter D. Burns, Editor(s)

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