Open AccessService-based Processing of Gigapixel Images
Author(s) -
Florian Fregien,
Sebastian Pasewaldt,
Jürgen Döllner,
Matthias Trapp
Publication year - 2021
Publication title -
computer science research notes
Language(s) - English
Resource type - Conference proceedings
eISSN - 2464-4625
pISSN - 2464-4617
DOI - 10.24132/csrn.2021.3002.29
Subject(s) - computer science , cloud computing , process (computing) , service (business) , high resolution , image processing , embedded system , computer vision , computer hardware , artificial intelligence , operating system , image (mathematics) , remote sensing , economy , economics , geology
With the ongoing improvement of digital cameras and smartphones, more and more people can acquire high-resolution digital images. Due to their size and high performance requirements, such Gigapixel Images (GPIs) areoften challenging to process and explore compared to conventional low resolution images. To address this problem,this paper presents a service-based approach for GPI processing in a device-independent way using cloud-basedprocessing. For it, the concept, design, and implementation of GPI processing functionality into service-basedarchitectures is presented and evaluated with respect to advantages, limitations, and runtime performance.