Published SaivDr-Release20200903

We updated SaivDr (Sparsity-Aware Image and Volumetric Data Restoration) package for the first time in about six months.

New this time, we added custom layers and sample codes for use with MATLAB Deep Learning Toolbox. It allows for more flexible DAG configuration than before.

NSOLT enables you to realize Parseval tight, symmetric and multi-resolution convolutional layers, and you can place NSOLT as a convolutional layer in a corner of a convolutional neural network.

We hope you will give it a try.

Acknowledgments: This work was supported by KAKENHI JP19H04135.

Citation of NSOLT paper in ICASSP2014

Our paper on NSOLT (ICASSP 2014) was cited as a method of structured dictionary learning in the following paper by Prof. Kjersti Engan (University of Stavanger, Norway) famous for the method of optimal directions (MOD).

About NSOLT, please visit here.