Images represent an important and abundant source of data. Understanding their statistical structure has important applications such as image compression and restoration. In this paper we propose a particular kind of probabilistic model, dubbed the “products of edge-perts model” to describe the structure of wavelet transformed images. We develop a practical denoising algorithm based on a single edge-pert and show state-ofthe-art denoising performance on benchmark images.
Author(s): | Gehler, PV. and Welling, M. |
Book Title: | Advances in neural information processing systems 18 |
Journal: | Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference |
Pages: | 419-426 |
Year: | 2006 |
Month: | May |
Day: | 0 |
Editors: | Weiss, Y. , B. Sch{\"o}lkopf, J. Platt |
Publisher: | MIT Press |
Bibtex Type: | Conference Paper (inproceedings) |
Address: | Cambridge, MA, USA |
Event Name: | Nineteenth Annual Conference on Neural Information Processing Systems (NIPS 2005) |
Event Place: | Vancouver, BC, Canada |
Digital: | 0 |
Electronic Archiving: | grant_archive |
ISBN: | 0-262-23253-7 |
Language: | en |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
BibTex
@inproceedings{5518, title = {Products of "Edge-perts"}, journal = {Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference}, booktitle = {Advances in neural information processing systems 18}, abstract = {Images represent an important and abundant source of data. Understanding their statistical structure has important applications such as image compression and restoration. In this paper we propose a particular kind of probabilistic model, dubbed the “products of edge-perts model” to describe the structure of wavelet transformed images. We develop a practical denoising algorithm based on a single edge-pert and show state-ofthe-art denoising performance on benchmark images.}, pages = {419-426}, editors = {Weiss, Y. , B. Sch{\"o}lkopf, J. Platt}, publisher = {MIT Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Cambridge, MA, USA}, month = may, year = {2006}, slug = {5518}, author = {Gehler, PV. and Welling, M.}, month_numeric = {5} }