%0 Conference Paper %1 conf/apsipa/AhnKPC18 %A Ahn, Byeongyong %A Kim, Yoonsik %A Park, Gu Yong %A Cho, Nam Ik %B APSIPA %D 2018 %I IEEE %K dblp %P 516-525 %T Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs. %U http://dblp.uni-trier.de/db/conf/apsipa/apsipa2018.html#AhnKPC18 %@ 978-9-8814-7685-2

@inproceedings{conf/apsipa/AhnKPC18, added-at = {2019-03-09T00:00:00.000+0100}, author = {Ahn, Byeongyong and Kim, Yoonsik and Park, Gu Yong and Cho, Nam Ik}, biburl = {https://www.bibsonomy.org/bibtex/20768c354982271c92f33bcf98826cbef/dblp}, booktitle = {APSIPA}, crossref = {conf/apsipa/2018}, ee = {https://doi.org/10.23919/APSIPA.2018.8659548}, interhash = {9b7ac079f29b44aab7673911b23ee189}, intrahash = {0768c354982271c92f33bcf98826cbef}, isbn = {978-9-8814-7685-2}, keywords = {dblp}, pages = {516-525}, publisher = {IEEE}, timestamp = {2019-10-17T13:50:48.000+0200}, title = {Block-Matching Convolutional Neural Network (BMCNN): Improving CNN-Based Denoising by Block-Matched Inputs.}, url = {http://dblp.uni-trier.de/db/conf/apsipa/apsipa2018.html#AhnKPC18}, year = 2018 }