NDLI: DVSNet: deep variance-stabilised network robust to spatially variant characteristics in imaging

Content Provider	IET Digital Library
Author	Yoo, S. B. Han, M.
Abstract	In real imaging systems, unwanted noises or artefacts can be caused by an image reconstruction error during photon-to-digital conversion. The generated noises typically tend to have spatially variant characteristics in an acquired image due to their signal dependencies. The noise characteristics via a preliminary study are analytically introduced and an image restoration scheme based on deep variance-stabilised network is proposed. Specifically, to improve the robustness of restoration performance to the noise properties, variance-stabilising transformation and binning priors are properly combined with a deep neural network as a layer structure particularly designed for denoising. Experimental results show the suggested network model outperforms existing state-of-the-art denoising methods based on convolutional neural network.
Starting Page	529
Ending Page	531
Page Count	3
ISSN	00135194
Volume Number	55
e-ISSN	1350911X
Issue Number	Issue 9, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/55/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2019.0102
Journal	Electronics Letters
Publisher Date	2019-03-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acquired Image Computer Vision And Image Processing Technique Convolutional Neural Network Deep Neural Network Deep Variance-stabilised Network Image Denoising Image Reconstruction Image Reconstruction Error Image Restoration Image Restoration Scheme Imaging System Neural Computing Technique Neural Nets Noise Characteristic Noise Property Optical, Image And Video Signal Processing Photon-to-digital Conversion Spatially Variant Characteristic Suggested Network Model Unwanted Noises Variance-stabilising Transformation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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