A Survey of Single Image Rain Removal Based on Deep Learning
Z Su, Y Zhang, J Shi, XP Zhang - ACM Computing Surveys, 2023 - dl.acm.org
The rain removal task is to restore a clean image from the contaminated image by
separating the background. Since the rise of deep learning in 2016, the task of image …
separating the background. Since the rise of deep learning in 2016, the task of image …
Multi-level wavelet network based on CNN-Transformer hybrid attention for single image deraining
B Liu, S Fang - Neural Computing and Applications, 2023 - Springer
Removing rain streaks from rainy images can improve the accuracy of computer vision
applications such as object detection. In order to make full use of the frequency domain …
applications such as object detection. In order to make full use of the frequency domain …
Joint Pixel and Frequency Feature Learning and Fusion via Channel-wise Transformer for High-Efficiency Learned In-Loop Filter in VVC
B Kathariya, Z Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Block-based video codecs such as Versatile Video Coding (VVC)/H. 266, High Efficiency
Video Coding (HEVC)/H. 265, Advanced Video Coding (AVC)/H. 264 etc. inherently …
Video Coding (HEVC)/H. 265, Advanced Video Coding (AVC)/H. 264 etc. inherently …
From heavy rain removal to detail restoration: A faster and better network
The profound accumulation of precipitation during intense rainfall events can markedly
degrade the quality of images, leading to the erosion of textural details. Despite the …
degrade the quality of images, leading to the erosion of textural details. Despite the …
DWTN: deep wavelet transform network for lightweight single image deraining
On rainy days the uncertainty of the shape and distribution of rain streaks can cause the
images captured by RGB image-based measurement tools to be blurred and distorted …
images captured by RGB image-based measurement tools to be blurred and distorted …
Multi-Scale Deep-Learning Approaches for Visual Coding and Processing
B Kathariya - 2024 - search.proquest.com
Visual information can be captured in both 2D and 3D formats. For example, an image is a
2D representation while a point cloud is a 3D representation. A sequence of images …
2D representation while a point cloud is a 3D representation. A sequence of images …
Wavelet Frequency Division Self-Attention Transformer Image Deraining Network.
F Siyan, LIU Bin - Journal of Computer Engineering & …, 2024 - search.ebscohost.com
In view of the weak ability of vision Transformer (ViT) to capture high-frequency information
and the problem that many image deraining methods are prone to lose details, a wavelet …
and the problem that many image deraining methods are prone to lose details, a wavelet …
Image Reconstruction for Rain Removal in Both Wavelet and Spatial Frequency Sub-bands Using W-CycleGANs
Although many techniques are devised in rain removal research recently, using either the
Convolutional Neural Network (CNN) or the Generative Adversarial Network (GAN), they …
Convolutional Neural Network (CNN) or the Generative Adversarial Network (GAN), they …
Image reconstruction under visual disruption caused by rain
LM Tang - 2021 - theses.gla.ac.uk
This thesis contributes to single-image reconstruction under visual disruption caused by rain
in the following areas: 1. Parameterization of a Convolutional Autoencoder (CAE) for small …
in the following areas: 1. Parameterization of a Convolutional Autoencoder (CAE) for small …