Image and video compression with neural networks: A review
In recent years, the image and video coding technologies have advanced by leaps and
bounds. However, due to the popularization of image and video acquisition devices, the …
bounds. However, due to the popularization of image and video acquisition devices, the …
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 …
VVC in-loop filters
M Karczewicz, N Hu, J Taquet, CY Chen… - … on Circuits and …, 2021 - ieeexplore.ieee.org
This paper presents an overview of the technologies for in-loop processing and filtering in
the Versatile Video Coding (VVC) standard. These processes comprise luma mapping with …
the Versatile Video Coding (VVC) standard. These processes comprise luma mapping with …
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 …
CNN-based in-loop filtering for coding efficiency improvement
A recent video coding standard, called High Efficiency Video Coding (HEVC), adopts two in-
loop filters for coding efficiency improvement where the in-loop filtering is done by a de …
loop filters for coding efficiency improvement where the in-loop filtering is done by a de …
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 …
[PDF][PDF] Image compression using neural networks: a review
Computer images consist of huge data and thus require more memory space. The
compressed image requires less memory space and less transmission time. Imaging and …
compressed image requires less memory space and less transmission time. Imaging and …
Advances in video compression system using deep neural network: A review and case studies
Significant advances in video compression systems have been made in the past several
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …
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 …
General video coding technology in responses to the joint call for proposals on video compression with capability beyond HEVC
After the development of the High-Efficiency Video Coding Standard (HEVC), ITU-T VCEG
and ISO/IEC MPEG formed the Joint Video Exploration Team (JVET), which started …
and ISO/IEC MPEG formed the Joint Video Exploration Team (JVET), which started …