I’ve been elected as an APSIPA Distinguished Lecturer for Term 2020-2021.
- Title of Lecture: “Sparsity-Aware Image and Volumetric Data Restoration with Convolutional Dictionary Learning” etc.
- Abstract: In this lecture, sparsity-aware restoration process of images and volumetric 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).
- APSIPA – Education
Call for Papers: SS08 – Advanced Topics on Structured Dictionary for Multidimensional Signal Processing
We are organizing a special session at APSIPA ASC 2017.
Date: 12-15th December 2017
Venue: Aloft Kuala Lumpur Sentral Sentral, Kuala Lumpur
14 June 2017 30 June 2017 (final)
It is our great pleasure that you will contribute papers to the following special session.
Special Session ID:
Special Session Title:
Advanced Topics on Structured Dictionary for Multidimensional Signal Processing
Along with the diversification of the sensing environment and the development of computational sensing technology, the need for signal acquisition under poor environment or exceeding the device’s limitation is increasing day by day. From this background, it is an important task to improve the quality of image and volumetric data restoration techniques. With the spread of IoT technology, it is also essential to achieve compatibility between image and volumetric data compression and security. This special session consists of advanced topics on structured dictionaries that focus on sparse signal processing to achieve multidimensional signal restoration, compression, and security. We will balance the theory, design and application lecture, and promote multidisciplinary discussion.
Names of the Organizers:
Shogo Muramatsu, Assoc.Prof. (Niigata University)
Seisuke Kyochi, Assoc. Prof. (University of Kitakyushu)
Accepted Special Sessions
Please Join to SS08 at APSIPA ASC 2017!
Contact Infomaton is here.