Denoising 3D Integral Images by Unsupervised Deep Learning

Danielle Yaffe; Ayalla Reuven; Adrian Stern

doi:10.1364/3D.2023.DM1A.4

Denoising 3D Integral Images by Unsupervised Deep Learning

Danielle Yaffe, Ayalla Reuven, Adrian Stern

School of Electrical and Computer Engineering

Ben-Gurion University of the Negev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

3-D imaging techniques suffer from noise and deterioration of image quality. This work explores an unsupervised deep learning method for integral imaging denoising using a single shot that overcomes the problem of limited clean data.

Original language	American English
Title of host publication	3D Image Acquisition and Display
Subtitle of host publication	Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023
ISBN (Electronic)	9781957171289
DOIs	https://doi.org/10.1364/3D.2023.DM1A.4
State	Published - 1 Jan 2023
Event	3D Image Acquisition and Display: Technology, Perception and Applications, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 - Part of Imaging and Applied Optics Congress 2023 - Duration: 1 Jan 2023 → …

Publication series

Name	3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023

Conference

Conference	3D Image Acquisition and Display: Technology, Perception and Applications, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 - Part of Imaging and Applied Optics Congress 2023
Period	1/01/23 → …

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Space and Planetary Science
Electrical and Electronic Engineering
Instrumentation
General Computer Science
Control and Systems Engineering

Access to Document

10.1364/3D.2023.DM1A.4

Cite this

Yaffe, D., Reuven, A., & Stern, A. (2023). Denoising 3D Integral Images by Unsupervised Deep Learning. In 3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 (3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023). https://doi.org/10.1364/3D.2023.DM1A.4

Yaffe, Danielle ; Reuven, Ayalla ; Stern, Adrian. / Denoising 3D Integral Images by Unsupervised Deep Learning. 3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023. 2023. (3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023).

@inproceedings{2d57904ffff94092a0dab9ac2a6af784,

title = "Denoising 3D Integral Images by Unsupervised Deep Learning",

abstract = "3-D imaging techniques suffer from noise and deterioration of image quality. This work explores an unsupervised deep learning method for integral imaging denoising using a single shot that overcomes the problem of limited clean data.",

author = "Danielle Yaffe and Ayalla Reuven and Adrian Stern",

note = "Publisher Copyright: {\textcopyright} 2023 The Author (s).; 3D Image Acquisition and Display: Technology, Perception and Applications, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 - Part of Imaging and Applied Optics Congress 2023 ; Conference date: 01-01-2023",

year = "2023",

month = jan,

day = "1",

doi = "10.1364/3D.2023.DM1A.4",

language = "American English",

series = "3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023",

booktitle = "3D Image Acquisition and Display",

}

Yaffe, D, Reuven, A & Stern, A 2023, Denoising 3D Integral Images by Unsupervised Deep Learning. in 3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023. 3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023, 3D Image Acquisition and Display: Technology, Perception and Applications, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 - Part of Imaging and Applied Optics Congress 2023, 1/01/23. https://doi.org/10.1364/3D.2023.DM1A.4

Denoising 3D Integral Images by Unsupervised Deep Learning. / Yaffe, Danielle; Reuven, Ayalla; Stern, Adrian.
3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023. 2023. (3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Denoising 3D Integral Images by Unsupervised Deep Learning

AU - Yaffe, Danielle

AU - Reuven, Ayalla

AU - Stern, Adrian

PY - 2023/1/1

Y1 - 2023/1/1

N2 - 3-D imaging techniques suffer from noise and deterioration of image quality. This work explores an unsupervised deep learning method for integral imaging denoising using a single shot that overcomes the problem of limited clean data.

AB - 3-D imaging techniques suffer from noise and deterioration of image quality. This work explores an unsupervised deep learning method for integral imaging denoising using a single shot that overcomes the problem of limited clean data.

UR - http://www.scopus.com/inward/record.url?scp=85192571911&partnerID=8YFLogxK

U2 - 10.1364/3D.2023.DM1A.4

DO - 10.1364/3D.2023.DM1A.4

M3 - Conference contribution

T3 - 3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023

BT - 3D Image Acquisition and Display

T2 - 3D Image Acquisition and Display: Technology, Perception and Applications, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023 - Part of Imaging and Applied Optics Congress 2023

Y2 - 1 January 2023

ER -

Yaffe D, Reuven A, Stern A. Denoising 3D Integral Images by Unsupervised Deep Learning. In 3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023. 2023. (3D Image Acquisition and Display: Technology, Perception and Applications in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP 2023). doi: 10.1364/3D.2023.DM1A.4

Denoising 3D Integral Images by Unsupervised Deep Learning

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this