Publications

Detailed Information

Separating Particulate Matter from a Single Microscopic Image

Cited 0 time in Web of Science Cited 0 time in Scopus
Authors

Sandhan, Tushar; Choi, Jin Young

Issue Date
2020-01
Publisher
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Citation
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.4583-4592
Abstract
© 2020 IEEE.Particulate matter (PM) is the blend of various solid and liquid particles suspended in atmosphere. These submicron particles are imperceptible for usual hand-held camera photography, but become a great obstacle in microscopic imaging. PM removal from a single microscopic image is a highly ill-posed and one of the challenging image denoising problems. In this work, we thoroughly analyze the physical properties of PM, microscope and their inevitable interaction; and propose an optimization scheme, which removes the PM from a high-resolution microscopic image within a few seconds. Experiments on real world microscopic images show that the proposed method significantly outperforms other competitive image denoising methods. It preserves the comprehensive microscopic foreground details while clearly separating the PM from a single monochromatic or color image.
ISSN
1063-6919
URI
https://hdl.handle.net/10371/186867
DOI
https://doi.org/10.1109/CVPR42600.2020.00464
Files in This Item:
There are no files associated with this item.
Appears in Collections:

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share