Zobrazeno 1 - 3
of 3
pro vyhledávání: '"O. S. Volodina"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 167-170 (2021)
We address the problem of constructing single low noise image from a sequence of multiple noisy images. We use the approach based on finding and averaging similar blocks in the image and extend it to multiple images. Unlike traditional multi-frame su
Externí odkaz:
https://doaj.org/article/45f2c9d12e984c62b5a0010b0f26a830
Publikováno v:
Computational Mathematics and Modeling. 31:402-409
We consider the choice of image denoising parameters in an algorithm based on singular decomposition and minimization of the weighted nuclear norm. An automated parameter-choosing method is proposed that analyzes the structures on a difference image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d68da7926eb85cda812da5096e80ebd
https://doi.org/10.1007/s10598-020-09500-z
https://doi.org/10.1007/s10598-020-09500-z
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 167-170 (2021)
We address the problem of constructing single low noise image from a sequence of multiple noisy images. We use the approach based on finding and averaging similar blocks in the image and extend it to multiple images. Unlike traditional multi-frame su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d437eba5edafd04b02998ffdae3bf6e
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-2-W1-2021/167/2021/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIV-2-W1-2021/167/2021/
