Effective sparse representation of X-Ray medical images
Computer Vision and Pattern Recognition
2016-11-15 v1
Abstract
Effective sparse representation of X-Ray medical images within the context of data reduction is considered. The proposed framework is shown to render an enormous reduction in the cardinality of the data set required to represent this class of images at very good quality. The particularity of the approach is that it can be implemented at very competitive processing time and low memory requirements
Keywords
Cite
@article{arxiv.1611.03873,
title = {Effective sparse representation of X-Ray medical images},
author = {Laura Rebollo-Neira},
journal= {arXiv preprint arXiv:1611.03873},
year = {2016}
}
Comments
Routines for implementing the approach are available on http://www.nonlinear-approx.info/examples/node06.html