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A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images

Hänsch, Ronny and Hellwich, Olaf and Ley, Andreas and Bielova, Oleksandra (2019) A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images. In: 2019 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2019). Computer Vision Foundation. CVPR Workshop Photogrammetric Computer Vision, 2019-06-16 - 2019-06-20, Long Beach, USA.

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Official URL: http://openaccess.thecvf.com/content_CVPRW_2019/html/PCV/Bielova_A_Digital_Image_Processing_Pipeline_for_Modelling_of_Realistic_Noise_CVPRW_2019_paper.html

Abstract

The evaluation of computer vision methods on synthetic images offers control over scene, object, and camera properties. The disadvantage is that synthetic data usually lack many of the effects of real cameras that pose the actual challenge to the methods under investigation. Among those, noise is one of the effects more difficult to simulate as it changes the signal at an early stage and is strongly influenced by the camera’s internal processing chain. The resulting noise is highly complex, intensity dependent, as well as spatially and spectrally correlated. We propose to transform synthetic images into the raw format of digital cameras, alter them with a physically motivated noise model, and then apply a processing chain that resembles a digital camera. Experiments show that the resulting noise exhibits a strong similarity to noise in real digital images, which further decreases the gap between synthesized images and real photographs.

Item URL in elib:https://elib.dlr.de/127803/
Document Type:Conference or Workshop Item (Speech)
Title:A Digital Image Processing Pipeline for Modelling of Realistic Noise in Synthetic Images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hänsch, RonnyRonny.Haensch (at) dlr.dehttps://orcid.org/0000-0002-2936-6765
Hellwich, Olafolaf.hellwich (at) tu-berlin.deUNSPECIFIED
Ley, Andreasandreas.ley (at) tu-berlin.deUNSPECIFIED
Bielova, Oleksandrao.bielova (at) campus.tu-berlin.deUNSPECIFIED
Date:10 June 2019
Journal or Publication Title:2019 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops 2019)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Publisher:Computer Vision Foundation
Series Name:The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
Status:Published
Keywords:Image noise, digital camera, synthetic images
Event Title:CVPR Workshop Photogrammetric Computer Vision
Event Location:Long Beach, USA
Event Type:international Conference
Event Dates:2019-06-16 - 2019-06-20
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Hänsch, Ronny
Deposited On:19 Jun 2019 10:10
Last Modified:12 Jan 2020 12:26

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