2020-2021期の APSIPA Distinguished Lecturer に選ばれました。
- Title of Lecture: “Sparsity-Aware Image and Volumetric Data Restoration with Convolutional Dictionary Learning”など
- 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
村松 正吾