Guest Editorial: Scale Space and Variational Methods

Jan Lellmann; Jan Modersitzki

doi:10.1007/s10851-020-01012-0

Guest Editorial: Scale Space and Variational Methods

^*Corresponding author for this work

Institute of Mathematics and Image Computing

Original language	English
Journal	Journal of Mathematical Imaging and Vision
Volume	63
Issue number	2
Pages (from-to)	131-132
Number of pages	2
ISSN	0924-9907
DOIs	https://doi.org/10.1007/s10851-020-01012-0
Publication status	Published - 02.2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1007/s10851-020-01012-0

https://link.springer.com/article/10.1007/s10851-020-01012-0

Cite this

@article{c0e8f5977b2f4f128d13a51b87b6c741,

title = "Guest Editorial: Scale Space and Variational Methods",

author = "Jan Lellmann and Jan Modersitzki",

year = "2021",

month = feb,

doi = "10.1007/s10851-020-01012-0",

language = "English",

volume = "63",

pages = "131--132",

journal = "Journal of Mathematical Imaging and Vision",

issn = "0924-9907",

publisher = "Springer Netherlands",

number = "2",

}

TY - JOUR

T1 - Guest Editorial

T2 - Scale Space and Variational Methods

AU - Lellmann, Jan

AU - Modersitzki, Jan

PY - 2021/2

Y1 - 2021/2

UR - https://www.scopus.com/pages/publications/85099928769

U2 - 10.1007/s10851-020-01012-0

DO - 10.1007/s10851-020-01012-0

M3 - Journal articles

AN - SCOPUS:85099928769

SN - 0924-9907

VL - 63

SP - 131

EP - 132

JO - Journal of Mathematical Imaging and Vision

JF - Journal of Mathematical Imaging and Vision

IS - 2

ER -

Guest Editorial: Scale Space and Variational Methods

UN SDGs

Access to Document

Other files and links

Cite this