Although digital cameras have been dramatically improved for decades, we still face difficult situations to capture clear images. In such cases, the captured images may suffer from noise, blur, color artifacts, and so on. In order to obtain desired images from those degraded ones, image recovery based on optimization has been extensively studied recently. In this talk, the basic of the image recovery is reviewed and related research topics of our group are introduced.
Dr. Seisuke Kyochi received his Ph.D. from Keio University in Yokohama, Japan, in 2010. He was a researcher at the NTT Cyberspace Laboratories from 2010 to 2012. In 2012, he joined The University of Kitakyushu, and from 2015 he has been an Associate Professor of the Faculty of Environmental Engineering. His research areas include the theory and design of wavelets/filter banks, image recovery by optimization.