News

WNCG students Marius Facktor and Abhinau Venkataramanan and WNCG alumnus Praful Gupta from Prof. Al Bovik’s Laboratory for Image & Video Engineering (LIVE) have been named Phase 2 winners in the Enhancing Computer Vision for Public Safety Challenge. The challenge is hosted by the Public Safety Communications Research Division of the National Institute of Standards and Technology. The competition aims to support public safety missions by advancing computer vision algorithms and no-reference (NR) metrics that assess image or video quality.

WNCG's Prof. Jeff Andrews has been named as a recipient of a 2021 Qualcomm Faculty Award. The Qualcomm Faculty Award (QFA) "supports key professors and their research through a $75,000 charitable donation to their university. The goal of the QFA funding is to strengthen Qualcomm’s engagement with faculty who are playing a key role in our recruiting of top graduate students."

First-year graduate student Joshua Ebenezer has received the Nilanjan Ganguly Memorial Award for his undergraduate thesis on haze- and fog-affected images and videos. The award designates the “best B.Tech thesis in the Electronics & Electrical Communication Engineering Department” at IIT Khargapur and is given annually to a single student. The award also includes a cash prize for the recipient from the Ganguly family. 

WNCG Alumnus Vishal Monga has led two teams of researchers to success at the New Trends in Image Restoration and Enhancement (NTIRE) worldwide competition. Monga received his Ph.D.EE from Texas ECE in 2005, advised by Prof. Brian L. Evans at WNCG. He now runs the Information Processing & Algorithms Laboratory at Penn State’s College of Engineering and holds the title of Associate Professor in the Department of Electrical Engineering and Computer Science.

Texas ECE Professor Al Bovik’s neuroscience-based Visual Information Fidelity (VIF) picture quality measurement tool has been built into the core of Netflix’s quality system which controls the quality of every video streamed by Netflix to all customers world-wide. VIF is a full reference image quality assessment index that is based on natural scene statistics, and on a model of the type of image information that is extracted by the human visual system. It was developed by Prof.

Prof. Sanjay Shakkottai received a 2017 Qualcomm Faculty Award. The award supports key professors and their research at leading universities across the country. This program connects Qualcomm with top academic researchers in hardware, software, and systems to help track the latest discoveries and facilitate new collaborations between industry and academia.

Mohit Tiwari and Sanjay Shakkottai, Texas ECE professors, have received 2017 Qualcomm Faculty Awards. Qualcomm encourages partnerships among engineers from hardware, software, and systems maintain close relationships with key universities to keep track of their latest discoveries and facilitate new collaborations. The Qualcomm Faculty Award (QFA) is one of the programs that the company uses to support key professors and their research at leading universities identified by the company.

While much work has been done to further image quality for cameras and smart phones in the visible light spectrum, WNCG student Todd Goodall and his advisor Prof. Bovik have expanded their research to include the quality of infrared images. “As far as Prof. Bovik and I know, no one has thoroughly studied the natural scene statistics of infrared images,” Goodall states. “Other general image statistics have been studied, but no one has considered the perceptually-relevant natural statistics..”