Application of blind deconvolution based on the new weighted L1-norm regularization with alternating direction method of multipliers in light microscopy images
- Authors
- Kim, J.-Y.; Kim, K.; Lee, Y.
- Issue Date
- Oct-2020
- Publisher
- Cambridge University Press
- Keywords
- alternating direction method of multipliers (ADMMs); blind deconvolution; deblurring algorithm; light microscope image; quantitative evaluation of image quality
- Citation
- Microscopy and Microanalysis, v.26, no.5, pp.929 - 937
- Journal Title
- Microscopy and Microanalysis
- Volume
- 26
- Number
- 5
- Start Page
- 929
- End Page
- 937
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78734
- DOI
- 10.1017/S143192762000183X
- ISSN
- 1431-9276
- Abstract
- This study aimed to develop and evaluate a blind-deconvolution framework using the alternating direction method of multipliers (ADMMs) incorporated with weighted L1-norm regularization for light microscopy (LM) images. A presimulation study was performed using the Siemens star phantom prior to conducting the actual experiments. Subsequently, the proposed algorithm and a total generalized variation-based (TGV-based) method were applied to cross-sectional images of a mouse molar captured at 40× and 400× on-microscope magnifications and the results compared, and the resulting images were compared. Both simulation and experimental results confirmed that the proposed deblurring algorithm effectively restored the LM images, as evidenced by the quantitative evaluation metrics. In conclusion, this study demonstrated that the proposed deblurring algorithm can efficiently improve the quality of LM images. © 2020 World Scientific Publishing Co. Pte Ltd. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - 보건과학대학 > 방사선학과 > 1. Journal Articles
- 보건과학대학 > 치위생학과 > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/78734)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.