Deformable Attention Network for Efficient Space‐Time Video Super‐Resolution
IET Image Processing, Volume 19, Issue 1, January/December 2025.Recent space‐time video super‐resolution (STVSR) works combine temporal interpolation and spatial super‐resolution in a unified framework, they face challenges in computational complexity across both temporal and spatial dimensions, particularly in achieving accurate intermediate frame interpolation and efficient temporal information utilisation.
Hua Wang +3 more
wiley +1 more source
More Realistic Edges, Textures, and Colors for Image Non‐Homogeneous Dehazing
IET Image Processing, Volume 19, Issue 1, January/December 2025.The study proposes an image dehazing method to improve performance in non‐homogeneous and/or dense haze scenarios, ensuring high texture detail and color fidelity in dehazed images.The proposed method employs a multi‐scale encoder–decoder structure to effectively capture finer edge and texture details.
Hairu Guo +4 more
wiley +1 more source
{DWDN}: {Deep Wiener Deconvolution Network} for Non-Blind Image Deblurring
, 2022 We present a simple and effective approach for non-blind image deblurring, combining classical techniques and deep learning. In contrast to existing methods that deblur the image directly in the standard image space, we propose to perform an explicit ...
Roth, Stefan +8 more
core +1 more source
Efficient Dark Channel Prior Based Blind Image De-blurring [PDF]
Radioengineering, 2021 Dark channel prior for blind image de-blurring has attained considerable attention in recent past. An interesting observation in blurring process is that the value of dark channel increases after averaging with adjacent high intensity pixels.
J. Ahmad, I. Touqir, A. M. Siddiqui
doaj
Improving the Neural Segmentation of Blurry Serial SEM Images by Blind Deblurring. [PDF]
Comput Intell Neurosci, 2023 Cheng A, Kang K, Zhu Z, Zhang R, Wang L.
europepmc +1 more source
Blind Deblurring of Remote-Sensing Single Images Based on Feature Alignment. [PDF]
Sensors (Basel), 2022 Zhu B +6 more
europepmc +1 more source
A Comprehensive Survey on Deep Neural Image Deblurring
, 2023 Image deblurring tries to eliminate degradation elements of an image causing blurriness and improve the quality of an image for better texture and object visualization.
Biyouki, Sajjad Amrollahi, Hwangbo, Hoon
core
Effective Alternating Direction Optimization Methods for Sparsity-Constrained Blind Image Deblurring
Sensors, 2017 Single-image blind deblurring for imaging sensors in the Internet of Things (IoT) is a challenging ill-conditioned inverse problem, which requires regularization techniques to stabilize the image restoration process.
Naixue Xiong +5 more
doaj +1 more source
Structure-Aware Motion Deblurring Using Multi-Adversarial Optimized CycleGAN
, 2021 Recently, Convolutional Neural Networks (CNNs) have achieved great improvements in blind image motion deblurring. However, most existing image deblurring methods require a large amount of paired training data and fail to maintain satisfactory structural ...
Wen, Yang +6 more
core +1 more source
Data-driven gradient priors integrated into blind image deblurring
Blind image deblurring is a severely ill-posed task. Most existing methods focus on deep learning to learn massive data features while ignoring the vital significance of classic image structure priors.
Li, Chongyi, Guo, Jichang, Qing, Qi
core +1 more source