Important Dates
  • Full paper submission / Special sessions proposals
    July 31, 2020 August 15, 2020
  • Accepted papers notification
    August 31, 2020September 15, 2020
  • Final submission due
    September 15, 2020September 25, 2020

TODAY 2020. 08. 04

ICCE-Asia 2020



Prof. Shogo Muramatsu (Niigata University)

Sparsity-Aware High-Dimensional Data Restoration with Convolutional Dictionary Learning

In this tutorial, sparsity-aware restoration process of high-dimensional data is outlined. First, the purpose and application examples of image and volumetric data restoration are introduced. Then, the relationship between simultaneous equations and signal restoration is illustrated. The following topics are also summarized: Inner products and filtering, linear systems and matrices, filter banks and synthesis dictionaries, sparse modeling and MAP estimation, image generation and prior knowledge. Convolutional dictionary learning is also explained in connection with the design of parametric filter banks. Finally, the nonlinear extension of convolution dictionary is discussed and compared with convolutional neural networks (CNNs).

Shogo Muramatsu received the B.E., M.E. and Ph.D. degrees from Tokyo Metropolitan University, Tokyo, Japan, in 1993, 1995 and 1998, respectively. From 1997 to 1999, he worked at Tokyo Metropolitan University. In 1999, he joined Niigata University, where he is currently a Professor in the Faculty of Engineering. From 2003 to 2004, he was a Visiting Researcher at the University of Florence, Italy. His research interests include multidimensional signal processing, multi-rate systems, image processing, video analysis, and embedded vision systems. Prof. Muramatsu is a Senior Member of IEEE and IEICE (Institute of Electronics, Information, and Communication Engineers of Japan) and a Member of APSIPA (Asia-Pacific Signal and Information Processing Association) and ITE (Institute of Image Information and Television Engineers of Japan). He is an Associate Editor for the IEEE Transactions on Signal Processing since 2019 and an APSIPA Distinguished Lecturer from 2020 to 2021.

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