SPORCO: A Python package for standard and convolutional sparse representations
Brendt Wohlberg
SParse Optimization Research COde (SPORCO) is an open-source Python package for solving optimization problems with sparsity-inducing regularization, consisting primarily of sparse coding and dictionary learning, for both standard and convolutional forms of sparse representation. In the current version, all optimization problems are solved within the Alternating Direction Method of Multipliers (ADMM) framework. SPORCO was developed for applications in signal and image processing, but is also expected to be useful for problems in computer vision, statistics, and machine learning.
sparse representations, convolutional sparse representations, sparse coding, convolutional sparse coding, dictionary learning, convolutional dictionary learning, alternating direction method of multipliers
DOI10.25080/shinma-7f4c6e7-001