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Proceedings Paper

Noisy images-JPEG compressed: subjective and objective image quality evaluation
Author(s): Silvia Corchs; Francesca Gasparini; Raimondo Schettini
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Paper Abstract

The aim of this work is to study image quality of both single and multiply distorted images. We address the case of images corrupted by Gaussian noise or JPEG compressed as single distortion cases and images corrupted by Gaussian noise and then JPEG compressed, as multiply distortion case. Subjective studies were conducted in two parts to obtain human judgments on the single and multiply distorted images. We study how these subjective data correlate with No Reference state-of-the-art quality metrics. We also investigate proper combining of No Reference metrics to achieve better performance. Results are analyzed and compared in terms of correlation coefficients.

Paper Details

Date Published: 3 February 2014
PDF: 9 pages
Proc. SPIE 9016, Image Quality and System Performance XI, 90160V (3 February 2014); doi: 10.1117/12.2039273
Show Author Affiliations
Silvia Corchs, Univ. degli Studi di Milano-Bicocca (Italy)
Francesca Gasparini, Univ. degli Studi di Milano-Bicocca (Italy)
Raimondo Schettini, Univ. degli Studi di Milano-Bicocca (Italy)


Published in SPIE Proceedings Vol. 9016:
Image Quality and System Performance XI
Sophie Triantaphillidou; Mohamed-Chaker Larabi, Editor(s)

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