Although deep-learning based video super-resolution (VSR) studies have achieved
excellent progress in recent years, the majority of them do not take into account the impact of …

The images in high resolution contain more useful information than the images in low
resolution. Thus, high-resolution digital images are preferred over low-resolution images …

深度神经网络近年来在人工智能领域进展显著, 并引发广泛深入研究神经网络的热潮,
近期基于神经网络的图像视频编码也成为热点研究问题之一. 系统梳理了基于神经网络的图像 …

In recent years, the application of systems for the storage and transmission of images has
faced severe challenges owing to the significant increase in the number of images being …

Provided are an image compressing method including determining a compressed image by
performing downsampling using a deep neural network (DNN) on an image; determining a …

The video on demand (VoD) applications require real-time decoding for customers while
pursuing a better compression performance. Recent work has demonstrated the great …

This paper presents the joint reference frame synthesis (RFS) and post-processing filter
enhancement (PFE) for Versatile Video Coding (VVC), aiming to explore the combination of …

We herein propose an efficient video coding system (EVCS) consists of a conventional
codec and an adaptive overfitted multi-scale attention network (MSAN) to improve coding …

Multiview video has a large amount of data which brings great challenges to both the
storage and transmission. Thus, it is essential to increase the compression efficiency of …

The lossless coding framework of High Efficiency Video Coding (HEVC) comprises
prediction and entropy coding, while omitting the transform process. However, residuals …