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Luận văn thạc sĩ Khoa học máy tính: Nội suy và tăng cường chất lượng video sử dụng máy học

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Thông tin cơ bản

Tiêu đề Nội suy và tăng cường chất lượng video sử dụng máy học
Tác giả Nguyẽn NgọC Xuân Huy
Người hướng dẫn PGS.TS. Hà Hoàng Kha, GS. TS. Lờ TiӃQ 7Kѭӡng, TS. NguyӉQ ĈuQK /RQJ, PGS. TS. Vừ NguyӉn Quӕc Bҧo
Trường học Trường Đại học Bách Khoa Tp.HCM
Chuyên ngành Khoa học máy tính
Thể loại Luận văn thạc sĩ
Năm xuất bản 2021
Thành phố Thành phố Hồ Chí Minh
Định dạng
Số trang 80
Dung lượng 2,16 MB

Nội dung

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

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ABSTRACT

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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&+ѬѪ1* GIӞI THIӊU TӘNG QUAN

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