Simply put, enhancement techniques are a process to improve the quality of a video in certain aspects, that can be turning black and white content into color, increasing resolution, impr
Trang 2Cán bӝ Kѭӟng dүn khoa hӑc: PGS.TS Hà Hoàng Kha
5 Ӫy viên: PGS TS Võ NguyӉn Quӕc Bҧo
Xác nhұn cӫa Chӫ tӏch HӝLÿӗQJÿiQKJLi/9Yj7Uѭӣng Khoa quҧn lý chuyên ngành sau khi luұQYăQÿã ÿѭӧc sӱa chӳa (nӃu có)
CHӪ TӎCH HӜ,ĈӖNG 75ѬӢNG KHOA Ĉ,ӊN - Ĉ,ӊN TӰ
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Trang 6ABSTRACT
Today, video is gradually becoming a dominant visual channel to information storage or transmission, more than texts or images As technology increasingly improves the quality of display units, a solution for long-standing, low-quality photo and video sources compared to current standards is required so that it can be met with today quality improvement Therefore, techniques to enhance image and video quality are significantly focused Simply put, enhancement techniques are a process
to improve the quality of a video in certain aspects, that can be turning black and white content into color, increasing resolution, improving exposure quality, balancing video, reducing noise, increasing frame rate or adding effects, etc This is the most essential part of any enhancement processing systems Therefore, the goal
of the study is to focus on solving the problem of "Interpolation and enhancement of YLGHR TXDOLW\ XVLQJ PDFKLQH OHDUQLQJ´ 6SHFLILFDlly, on 3 aspects of framerate acceleration, resolution enhancement and colorization
Regarding this research structure, this thesis will introduce the trend of increasing demand for using quality enhancement problems for video and the trend of researches
on this issue in recent times, focusing on methods of using machine learning This thesis sets out the tasks and research scope, and evaluates the advantages and disadvantages of the available methods From there, select the criteria to choose the suitable enhancement methods for the video and the appropriate research directions The following sections, in turn, outline the relevant theoretical background, including models and algorithms used as well as test runs on Google Colab Finally, the thesis presents the results of the our work on sample videos, the expected contributions of this research, conclusions and future development directions
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Tp Hӗ Chí Minh, ngày tháng QăP21
NguyӉn Ngӑc Xuân Huy
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