Noisy images-JPEG compressed: subjective and objective image quality evaluation

Silvia Corchs; Francesca Gasparini; Raimondo Schettini

doi:10.1117/12.2039273

3 February 2014 Noisy images-JPEG compressed: subjective and objective image quality evaluation

Silvia Corchs, Francesca Gasparini, Raimondo Schettini

Proceedings Volume 9016, Image Quality and System Performance XI; 90160V (2014) https://doi.org/10.1117/12.2039273
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

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.

Citation Download Citation

Silvia Corchs, Francesca Gasparini, and Raimondo Schettini "Noisy images-JPEG compressed: subjective and objective image quality evaluation", Proc. SPIE 9016, Image Quality and System Performance XI, 90160V (3 February 2014); https://doi.org/10.1117/12.2039273

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