Multiframe-to-multiframe network for video denoising
Most existing studies performed video denoising by using multiple adjacent noisy frames to
recover one clean frame; however, despite achieving relatively good quality for each …
recover one clean frame; however, despite achieving relatively good quality for each …
Self-supervised training for blind multi-frame video denoising
We propose a self-supervised approach for training multi-frame video denoising networks.
These networks predict frame t from a window of frames around t. Our self-supervised …
These networks predict frame t from a window of frames around t. Our self-supervised …
Unidirectional video denoising by mimicking backward recurrent modules with look-ahead forward ones
While significant progress has been made in deep video denoising, it remains very
challenging for exploiting historical and future frames. Bidirectional recurrent networks …
challenging for exploiting historical and future frames. Bidirectional recurrent networks …
Video denoising for scenes with challenging motion: A comprehensive analysis and a new framework
Challenging motion, which tends to cause artifacts, is a key problem in the video denoising
task. Recent video denoising methods have attempted to address this problem. However …
task. Recent video denoising methods have attempted to address this problem. However …
A comparison of image denoising methods
The advancement of imaging devices and countless images generated everyday pose an
increasingly high demand on image denoising, which still remains a challenging task in …
increasingly high demand on image denoising, which still remains a challenging task in …
A multi-scale gabor filter-based method for enhancing video images in distance education
Y Hu, M Kundi - Mobile Networks and Applications, 2023 - Springer
Due to the limited network bandwidth and low-quality end-user devices, the images in
distance education videos are transferred in low resolution. It results in low clarity, which …
distance education videos are transferred in low resolution. It results in low clarity, which …
Sports Training Correction based on 3D Virtual Image Model
Y Zhang, W Wei - Mobile Networks and Applications, 2023 - Springer
In the process of sports movements, relevant actions occur at a fast pace. In the field of
artificial intelligence, recognizing such action features poses significant challenges, thereby …
artificial intelligence, recognizing such action features poses significant challenges, thereby …
Self-similarity convolution neural network for seismic noise suppression in desert environment
H Lin, X Xu, S Wang - Studia Geophysica et Geodaetica, 2023 - Springer
Seismic signals are inevitably disturbed by random noise in the acquisition process, which
greatly degrades seismic data. In order to improve the quality of seismic data, we propose a …
greatly degrades seismic data. In order to improve the quality of seismic data, we propose a …
Towards Safer Transportation: a self-supervised learning approach for traffic video deraining
Video monitoring of traffic is useful for traffic management and control, traffic counting, and
traffic law enforcement. However, traffic monitoring during inclement weather such as rain is …
traffic law enforcement. However, traffic monitoring during inclement weather such as rain is …
[PDF][PDF] Discovery of New Words in Tax-related Fields Based on Word Vector Representation
W Wei, W Liu, B Zhang, R Scherer… - Journal of Internet …, 2023 - jit.ndhu.edu.tw
New words detection, as basic research in natural language processing, has gained
extensive concern from academic and business communities. When the existing Chinese …
extensive concern from academic and business communities. When the existing Chinese …