The following blog entry is from Jiayang Sun, Professor of Statistics and Professor of Epidemiology and Biostatistics from Case Western University. Dr. Sun is leading the imaging working group together with Dr. Dani Dushizima, as part of the Statistical and Computational Methodology for Massive Datasets Program.
As part of SAMSI’s imaging working group activity, on Oct 29, Professor Peihua Qiu from U. of Minnesota gave a special talk on “Jump Regression Analysis and Imaging Processing” as an imaging tutorial from statistician’s perspective, based on his book published by Wiley, in addition to his recent research on blind image deblurring (BID), 3d image denosing and registration.
The talk sparked interesting discussions on challenges and needs from a high level to the specifics that may motivate further research and better formulation of the various research problems.
Andreas Artemiou from Michigan Technological University said,
“It was insightful. I did not know the jump regression analysis and its application to imaging. Could I have a copy of the slides?”
SAMSI Postdoctoral Fellow Yi Grace Wang (whose research is in imaging from the mathematical side) said,
“I liked the tutorial very much. It included the big picture of image processing from statistical perspective as well as details from the Jump Regression Analysis in particular. It provided inspiring insights and also enlightened interesting thoughts and debates.”
SAMSI Postdoctoral Fellow Dan Yang (who has identified imaging from a statistical perspective as an area of research she would like to pursue) said,
“For me who has little experience in imaging, I enjoyed the tutorial a lot. It is neither too general nor too technical, giving me a big picture as well as the key ideas. I especially appreciate Prof. Qiu’s presentation for his careful organization, approachable explanation and interesting illustration.”
SAMSI Postdoctoral Fellow Garvesh Rasketti (who was interested to find out more about imaging) noted,
“I enjoyed the talk. I was unfamiliar with jump regression prior to the talk. It seems very applicable to imaging and other areas and the talk has encouraged me to read up more on jump regression.”
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