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 SPIE-IS&T.
Corchs, S., Gasparini, F., Marini, F., Schettini, R. (2012). A sharpness measure on automatically selected edge segments. In Proceedings of SPIE - The International Society for Optical Engineering [10.1117/12.908473].
A sharpness measure on automatically selected edge segments
CORCHS, SILVIA ELENAPrimo
;GASPARINI, FRANCESCA
;MARINI, FABRIZIOPenultimo
;SCHETTINI, RAIMONDOUltimo
2012
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 SPIE-IS&T.
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