Circular-ELM for the Reduced-Reference Assessment of Perceived Image Quality. Neurocomputing. 2013;102:78-90. Download: Neurocomputing_2012.pdf (905.48 KB)
Interactions of visual attention and quality perception. In: IS&T/SPIE Electronic Imaging 2011 and Human Vision and Electronic Imaging XVI. Vol 7865.; 2011. Abstract
An Efficient Neural-Network based No-Reference Approach to an Overall Quality Metric for JPEG and JPEG2000 Compressed Images. Journal of Electronic Imaging. 2011;20(4):1-15. Download: JEI_2011.pdf (2.26 MB)
A two-layer Neural System for Reduced-Reference Visual Quality Assessment. Journal of Artificial Intelligence and Soft Computing Research. 2011;1(1):27-41. Download: JAISCR_2012_Redi.pdf (3.12 MB)
Comparing subjective image quality measurement methods for the creation of public databases. In: IS&T/SPIE Electronic Imaging 2010 and Image Quality and System Performance VII.; 2010.
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000. In: IS&T/SPIE Electronic Imaging 2010 and Human Vision and Electronic Imaging XV.; 2010. Abstract
Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality. IEEE Transactions on Circuits and Systems for Video Technology. 2010;20(12):1745-56. Download: TCSVT_2010_Redi.pdf (1.53 MB)
How to Apply Spatial Saliency into Objective Metrics for {JPEG} Compressed Images?. In: IEEE ICIP2009 International Conference on Image Processing.; 2009. Abstract
Building neural systems for no-reference quality assessment. In: Proc. of the Video Picture Quality Metrics Workshop. Vol 242.; 2005.
Objective Quality Assessment of Displayed Images by using Neural Networks. Signal Processing: Image Communication. 2005;20 and 643.