

This monograph provides a comprehensive overview of techniques for enhancing image quality in digital processing. It examines the challenges of lossy compression, exploring the balance between compression efficiency and visual fidelity, as well as methods for controlling image quality. Scientists delve into various techniques, which play a crucial role in improving image clarity and detail. Additionally, it discusses perceptual quality metrics, their application in optimization, and the role of machine learning in advancing image enhancement.
Chapter 1. Quality of lossy compressed images and ways of its providing
Volodymyr Lukin, Sergii Kryvenko, Fangfang Li, Sergiy Abramov, Victoria Abramova, Bogdan Kovalenko, Igor Dohtiev, Oleksandr, Arkhipov, Nenad Stojanovic, Boban Bondzulic
Chapter 2. Solving pattern recognition problems in shipping monitoring systems based on CNN-models
Pavlo Mykhalichenko, Tetiana Cherniavska, Bohdan Cherniavskyi, Nadtochii Viktor, Nadtochyi Anatolii, Maiia Korkh
Doctor of Technical Sciences, Professor, Head of Department
Department of Information and Communication Technologies
https://orcid.org/0000-0002-1443-9685
PhD, Senior Researcher
Department of Information and Communication Technologies
https://orcid.org/0000-0001-6027-5442
PhD, Lecturer
Key Laboratory of Opto-Electronic Information Science and Technology of Jiangxi Province
https://orcid.org/0000-0002-8212-9144
PhD, Associate Professor, Chief Engineer
Department of Functional Materials and Electronics
https://orcid.org/0000-0002-8295-9439
PhD, Researcher
Department of Optoelectronics
https://orcid.org/0000-0002-8295-9439
PhD Student
Department of Information and Communication Technologies
https://orcid.org/0000-0002-9360-0691
PhD Student
Department of Information and Communication Technologies
https://orcid.org/0009-0000-8510-958X
PhD Student
Department of Information and Communication Technologies
https://orcid.org/0009-0009-6943-0870
Teaching Assistant
Department of Telecommunications and Informatics
https://orcid.org/0000-0001-9328-5348
Associate Professor
Department of Telecommunications and Informatics
https://orcid.org/0000-0002-8850-9842
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