TY - GEN
T1 - Non local means image filtering using clustering
AU - Pardo, Alvaro
N1 - Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - In this work we study improvements for the Non Local Means image filter using clustering in the space of patches. Patch clustering it is proposed to guide the selection of the best patches to be used to filter each pixel. Besides clustering, we incorporate spatial coherence keeping some local patches extracted from a local search window around each pixel. Therefore, for each pixel we use local patches and non local ones extracted from the corresponding cluster. The proposed method outperforms classical Non Local Means filter and also, when compared with other methods from the literature based on random sampling, our results confirm the benefits of sampling inside clusters combined with local information.
AB - In this work we study improvements for the Non Local Means image filter using clustering in the space of patches. Patch clustering it is proposed to guide the selection of the best patches to be used to filter each pixel. Besides clustering, we incorporate spatial coherence keeping some local patches extracted from a local search window around each pixel. Therefore, for each pixel we use local patches and non local ones extracted from the corresponding cluster. The proposed method outperforms classical Non Local Means filter and also, when compared with other methods from the literature based on random sampling, our results confirm the benefits of sampling inside clusters combined with local information.
UR - http://www.scopus.com/inward/record.url?scp=85042210216&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-75193-1_58
DO - 10.1007/978-3-319-75193-1_58
M3 - Contribución a la conferencia
AN - SCOPUS:85042210216
SN - 9783319751924
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 483
EP - 490
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 22nd Iberoamerican Congress, CIARP 2017, Proceedings
A2 - Velastin, Sergio
A2 - Mendoza, Marcelo
PB - Springer Verlag
T2 - 22nd Iberoamerican Congress on Pattern Recognition, CIARP 2017
Y2 - 7 November 2017 through 10 November 2017
ER -