Noisy images-JPEG compressed: subjective and objective image quality evaluation
Silvia Corchs, Francesca Gasparini, Raimondo Schettini · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.