WCDANN: A Lightweight CNN Post-Processing Filter for VVC-Based Video Compression

In this paper, we propose a weakly connected dense attention neural network for compression artifact removal, called WCDANN. WCDANN is a convolutional neural network (CNN)-based post-processing filter to enhance the quality of versatile video coding (VVC)-decoded videos without requiring any codec c...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Hao Zhang, Cheolkon Jung, Dan Zou, Ming Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2023-01-01
Sarja:	IEEE Access
Aiheet:	Video compression attention convolutional neural network depthwise separable convolution in-loop filter post-processing
Linkit:	https://ieeexplore.ieee.org/document/10201857/
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