Circular-ELM for the Reduced-Reference Assessment of Perceived Image Quality. Neurocomputing. 2013;102:78-90. Download: Neurocomputing_2012.pdf (905.48 KB)
Machine Learning solutions for Objective Visual Quality Assessment. In: Sixth international workshop on Video Processing and Quality Metrics (VPQM).; 2012. Download: VPQM_2012_Redi.pdf (241.53 KB)
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)
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.
{CBP} Neural Network for Objective Assessment of Image Quality. In: Proc. Int. INNS-IEEE Joint Conf. On Neural Networks.; 2003.
Neural Network Based System for Assessing Image Quality. In: SID 03 DIGEST. Vol 272.; 2003.
Image Quality Assessments by Using Neural Networks. In: Proc. IEEE International Symposium on Circuits and Systems and ISCAS 2002. Vol V and 253.; 2002.