A study of video denoising based on deep learning
Video denoising is a fundamental low-level vision task which means videos corrupted by noise are restored and high-quality videos are obtained. With deep learning techniques applied in the computer vision area, models based on deep neural network began to replace traditional algorithms. In this d...
Main Author: | Zou, Dejian |
---|---|
Other Authors: | Wen Bihan |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/180018 |
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