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Brendt Wohlberg, "Convolutional Sparse Representations with Gradient Penalties", arXiv, 1705.04407, 2017


While convolutional sparse representations enjoy a number of useful properties, they have received limited attention for image reconstruction problems. The present paper compares the performance of block-based and convolutional sparse representations in the removal of Gaussian white noise. While the usual formulation of the convolutional sparse coding problem is slightly inferior to the block-based representations in this problem, the performance of the convolutional form can be boosted beyond that of the block-based form by the inclusion of suitable penalties on the gradients of the coefficient maps.

BibTeX Entry

author = {Brendt Wohlberg},
title = {Convolutional Sparse Representations with Gradient Penalties},
year = {2017},
month = May,
urlpdf = {},
urlhtml = {},
urlcode = {},
institution = {arXiv},
number = {1705.04407}