Efficient in-loop filtering based on enhanced deep convolutional neural networks for HEVC
The raw video data can be compressed much by the latest video coding standard, high
efficiency video coding (HEVC). However, the block-based hybrid coding used in HEVC will …
efficiency video coding (HEVC). However, the block-based hybrid coding used in HEVC will …
Dense residual convolutional neural network based in-loop filter for HEVC
Y Wang, H Zhu, Y Li, Z Chen… - 2018 IEEE Visual …, 2018 - ieeexplore.ieee.org
In-loop filtering is a key technique in the state of art video coding standard that plays a
significant role in suppressing compression artifacts. Motivated by the latest advances of …
significant role in suppressing compression artifacts. Motivated by the latest advances of …
Residual highway convolutional neural networks for in-loop filtering in HEVC
High efficiency video coding (HEVC) standard achieves half bit-rate reduction while keeping
the same quality compared with AVC. However, it still cannot satisfy the demand of higher …
the same quality compared with AVC. However, it still cannot satisfy the demand of higher …
A deep learning approach for multi-frame in-loop filter of HEVC
An extensive study on the in-loop filter has been proposed for a high efficiency video coding
(HEVC) standard to reduce compression artifacts, thus improving coding efficiency …
(HEVC) standard to reduce compression artifacts, thus improving coding efficiency …
Content-aware convolutional neural network for in-loop filtering in high efficiency video coding
Recently, convolutional neural network (CNN) has attracted tremendous attention and has
achieved great success in many image processing tasks. In this paper, we focus on CNN …
achieved great success in many image processing tasks. In this paper, we focus on CNN …
Partition-aware adaptive switching neural networks for post-processing in HEVC
This article addresses neural network based post-processing for the state-of-the-art video
coding standard, High Efficiency Video Coding (HEVC). We first propose a partition-aware …
coding standard, High Efficiency Video Coding (HEVC). We first propose a partition-aware …
MFRNet: a new CNN architecture for post-processing and in-loop filtering
In this paper, we propose a novel convolutional neural network (CNN) architecture, MFRNet,
for post-processing (PP) and in-loop filtering (ILF) in the context of video compression. This …
for post-processing (PP) and in-loop filtering (ILF) in the context of video compression. This …
Recursive residual convolutional neural network-based in-loop filtering for intra frames
S Zhang, Z Fan, N Ling, M Jiang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Although the in-loop filtering incorporated in High Efficiency Video Coding (HEVC) standard
improves the subjective quality of reconstructed pictures and increases the compression …
improves the subjective quality of reconstructed pictures and increases the compression …
A convolutional neural network approach for post-processing in HEVC intra coding
Lossy image and video compression algorithms yield visually annoying artifacts including
blocking, blurring, and ringing, especially at low bit-rates. To reduce these artifacts, post …
blocking, blurring, and ringing, especially at low bit-rates. To reduce these artifacts, post …
A novel deep learning-based method of improving coding efficiency from the decoder-end for HEVC
Improving the coding efficiency is the eternal theme in video coding field. The traditional way
for this purpose is to reduce the redundancies inside videos by adding numerous coding …
for this purpose is to reduce the redundancies inside videos by adding numerous coding …