Innovative Integration of Residual Networks for Enhanced In-loop Filtering in VVC Using Deep Convolutional Neural Networks

This paper explores the integration of Residual Networks (ResNets) into the in-loop filtering (ILF) process of the Versatile Video Coding (VVC) standard, aiming to enhance video compression efficiency and video quality through the application of Deep Convolutional Neural Networks (DCNNs). The study...

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書誌詳細

出版年:	Компьютерная оптика
主要な著者:	M.K.I. Ibraheem, A.V. Dvorkovich, A.M.S. Al-Temimi
フォーマット:	論文
言語:	英語
出版事項:	Samara National Research University 2025-08-01
主題:	deep learning residual deep convolutional neural network versatile video coding video compression vtm
オンライン･アクセス:	https://computeroptics.ru/eng/KO/Annot/KO49-4/490418e.html