Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems

Algorithm 1

Orthogonal DL algorithm.

Input: Training dataset , Input orthogonal atoms .

  Output: Learned dictionary .

 1 Initialize the dictionary

 2 For

 3 Compute the sparse coding by using hard threshold

       ,

 4 Run the SVD for the following matrix

 5 Update the dictionary

 6 end for