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...

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Bibliographic Details
Main Author: Zou, Dejian
Other Authors: Wen Bihan
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/180018