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Proceedings Paper
Volume: 38 | Article ID: MOBMU-319
Image
Measuring the Complexity of Image Enhancement and Restoration Algorithms Using a Logarithmic Model
Julia Schnitzer
  Julia Schnitzer
Affiliation
Brandenburg University of Applied Sciences, Germany
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Zohair Al-Ameen
  Zohair Al-Ameen
Affiliation
University of Mosul, Iraq
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Basim Mahmood
  Basim Mahmood
Affiliation
University of Mosul, Iraq
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  DOI :  10.2352/EI.2026.38.3.MOBMU-319  Published Online :  March 2026
Abstract
Abstract

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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 DOI 10.2352/EI.2026.38.3.MOBMU-319
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  Cite this article 

Julia Schnitzer, Zohair Al-Ameen, Basim Mahmood, "Measuring the Complexity of Image Enhancement and Restoration Algorithms Using a Logarithmic Model"  in Electronic Imaging,  2026,  pp 319-1 - 319-7,  https://doi.org/10.2352/EI.2026.38.3.MOBMU-319

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Copyright ©2026 Society for Imaging Science and Technology 2026
ei
Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/EI.2026.38.3.MOBMU-319
MOBMU-319
Proceedings Paper
Measuring the Complexity of Image Enhancement and Restoration Algorithms Using a Logarithmic Model
SchnitzerJulia
Brandenburg University of Applied Sciences, Germany
Al-AmeenZohair
University of Mosul, Iraq
MahmoodBasim
University of Mosul, Iraq
Abstract
132026
38
MOBMU
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2026
3
319-1
319-7
©2026 Society for Imaging Science and Technology
2026
Complexity measureLogarithmic modelImage processingBrain-computer interaction