WCDANN: A Lightweight CNN Post-Processing Filter for VVC-Based Video Compression
H Zhang, C Jung, D Zou, M Li - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, we propose a weakly connected dense attention neural network for
compression artifact removal, called WCDANN. WCDANN is a convolutional neural network …
compression artifact removal, called WCDANN. WCDANN is a convolutional neural network …
Downsampling based light field video coding with restoration network using joint spatio-angular and epipolar information
This paper proposes a new downsampling-based light field video coding (D-LFVC)
framework whose success relies on how to design an effective restoration method that can …
framework whose success relies on how to design an effective restoration method that can …
Versatile Video Coding-Post Processing Feature Fusion: A Post-Processing Convolutional Neural Network with Progressive Feature Fusion for Efficient Video …
T Das, X Liang, K Choi - Applied Sciences (2076-3417), 2024 - search.ebscohost.com
Advanced video codecs such as High Efficiency Video Coding/H. 265 (HEVC) and Versatile
Video Coding/H. 266 (VVC) are vital for streaming high-quality online video content, as they …
Video Coding/H. 266 (VVC) are vital for streaming high-quality online video content, as they …
Enhancing Image Quality by Reducing Compression Artifacts Using Dynamic Window Swin Transformer
Video/image compression codecs utilize the characteristics of the human visual system and
its varying sensitivity to certain frequencies, brightness, contrast, and colors to achieve high …
its varying sensitivity to certain frequencies, brightness, contrast, and colors to achieve high …
High Quality Video Frames from VVC: A Deep Neural Network Approach
In recent years, video content has become a significant contributor to Internet traffic,
prompting the development of efficient codecs, such as High Efficiency Video Coding …
prompting the development of efficient codecs, such as High Efficiency Video Coding …
Block Partitioning Information-Based CNN Post-Filtering for EVC Baseline Profile
K Choi - Sensors, 2024 - mdpi.com
The need for efficient video coding technology is more important than ever in the current
scenario where video applications are increasing worldwide, and Internet of Things (IoT) …
scenario where video applications are increasing worldwide, and Internet of Things (IoT) …
Caesr: Conditional autoencoder and super-resolution for learned spatial scalability
In this paper, we present CAESR, an hybrid learning-based coding approach for spatial
scalability based on the versatile video coding (VVC) standard. Our framework considers a …
scalability based on the versatile video coding (VVC) standard. Our framework considers a …
Super-resolution Model-based Versatile Video Coding for Light Field Video
In this paper, we propose a novel light field (LF) super-resolution model for a downsampling-
based LF video coding framework by introducing a feature selection and shuffling …
based LF video coding framework by introducing a feature selection and shuffling …
Learning based coding and post-processing methods for 8K video reconstruction
C Bonnineau - 2022 - theses.hal.science
8K video resolution has attracted a lot of interest from the industry as a media format for
immersive video applications enhancing the end users' quality of experience. However …
immersive video applications enhancing the end users' quality of experience. However …
[PDF][PDF] A Swin Transformer Based Restoration Scheme for VVC Compressed Images
The Versatile Video Coding (VVC) standard is shown to significantly outperform the High
Efficiency Video Coding (HEVC), the previous compression standard image/video codecs …
Efficiency Video Coding (HEVC), the previous compression standard image/video codecs …