WNCG Seminar: Perceptual Quality Evaluation of Pan-sharpened and Super-resolved Images

Friday, April 26, 2019
EER 1.516

The role of image quality assessment in tasks such as (i) pan sharpening (PS) (i.e. merging high-resolution panchromatic and lower resolution multispectral imagery to create a single high-resolution color image) and (ii) super-resolution (SR) has not been researched extensively from the natural scene statistics (NSS) perspective. For instance, even though there are several well-known measures that quantify the quality of PS and SR images, there has been little work done on analyzing the statistics of PS and SR images and associated distortions. In this talk, we will present opinion-aware (OA) and opinion-distortion-unaware (ODU) image quality analyzers whose quality prediction power exceeds that of other state-of-the-art PS and SR quality models in regards to correlation with human subjective judgments. These results confirm the relevance of NSS for improving non-reference quality evaluation of image enhancement procedures such as PS and SR.


Adjunct Professor
Laboratory of Computer Vision and Systems of Université Laval

Hernán Darío Benítez Restrepo received his undergraduate degree in Electronic Engineering, and his Dr. Eng. degree in Electronic Engineering from Pontificia Universidad Javeriana Sede Cali and Universidad del Valle, in 2002 and 2008, respectively. Since February 2010 he is an adjunct professor at the Laboratory of Computer Vision and Systems of Université Laval, Québec City. Since January 2008, he has been with the Department of Electronics and Computing at Pontificia Universidad Javeriana Sede Cali. In 2011, he received a Merit scholarship for short-term research from Ministére de l’Education, du Québec to pursue research on infrared vision. Dr. Benitez has been an IEEE Senior member since 2014 and Chair of Colombia’s IEEE Signal Processing Chapter since 2012. He is a member of the scientific editorial board of the Quantitative Infrared Thermography Journal since 2014. He is the recipient of a Fulbright Visiting Researcher scholarship to carry out research on video quality assessment in the Laboratory of Image and Video Engineering (LIVE) in the University of Texas at Austin in 2019. His main research interests encompass image and video quality evaluation, infrared vision, and pattern recognition.