A Systematic Literature Review on SOTA Machine learning-supported Computer Vision Approaches to Image Enhancement
Dublin Core
Title
A Systematic Literature Review on SOTA Machine learning-supported Computer Vision Approaches to Image Enhancement
Subject
Image enhancement, Machine learning, Computer vision, ML, CV
Description
Image enhancement as a problem-oriented process of optimizing visual appearances to provide easier-toprocess input to automated image processing techniques is an area that will consistently be a companion
to computer vision despite advances in image acquisition and its relevance continues to grow. For our systematic literature review, we consider the major peer-reviewed journals and conference papers on the state of the art in machine learning-based computer vision approaches for image enhancement. We describe the image enhancement methods relevant to our work and introduce the machine learning models used. We then provide a comprehensive overview of the different application areas and formulate research gaps for future scientific work on machine learning based computer vision approaches for image enhancement based on our results.
to computer vision despite advances in image acquisition and its relevance continues to grow. For our systematic literature review, we consider the major peer-reviewed journals and conference papers on the state of the art in machine learning-based computer vision approaches for image enhancement. We describe the image enhancement methods relevant to our work and introduce the machine learning models used. We then provide a comprehensive overview of the different application areas and formulate research gaps for future scientific work on machine learning based computer vision approaches for image enhancement based on our results.
Creator
Marco Klaiber, Jonas Klopfer
Source
http://dx.doi.org/10.21609/jiki.v15i1.1017
Publisher
Faculty of Computer Science Universitas Indonesia
Date
022-02-27
Contributor
Sri Wahyuni
Rights
e-ISSN : 2502-9274 printed ISSN : 2088-7051
Format
PDF
Language
English
Type
Text
Coverage
Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Files
Collection
Citation
Marco Klaiber, Jonas Klopfer, “A Systematic Literature Review on SOTA Machine learning-supported Computer Vision Approaches to Image Enhancement,” Repository Horizon University Indonesia, accessed May 22, 2025, https://repository.horizon.ac.id/items/show/8836.