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All Journal Jurnal Ilmu Komputer dan Informasi
Marco Klaiber
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Computer Science & IT Library & Information Science

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A Systematic Literature Review on SOTA Machine learning-supported Computer Vision Approaches to Image Enhancement Marco Klaiber; Jonas Klopfer
Jurnal Ilmu Komputer dan Informasi Vol. 15 No. 1 (2022): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Informatio
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21609/jiki.v15i1.1017

Abstract

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
Co-Authors Jonas Klopfer