Dynamic scene deblurring with continuous cross-layer attention transmission
X Hua, M Li, J Fei, J Liu, Y Shi, H Hong - Pattern Recognition, 2023 - Elsevier
The deep convolutional neural networks (CNNs) using attention mechanism have achieved
great success for dynamic scene deblurring. In most of these networks, only the features …
great success for dynamic scene deblurring. In most of these networks, only the features …
Uncertainty estimation in HDR imaging with Bayesian neural networks
The goal of high dynamic range (HDR) imaging is to estimate potential high-quality images
from multi-exposed low dynamic range (LDR) inputs. Intuitively, there exist various possible …
from multi-exposed low dynamic range (LDR) inputs. Intuitively, there exist various possible …
High dynamic range imaging via gradient-aware context aggregation network
Obtaining a high dynamic range (HDR) image from multiple low dynamic range images with
different exposures is an important step in various computer vision tasks. One of the ongoing …
different exposures is an important step in various computer vision tasks. One of the ongoing …
From distortion manifold to perceptual quality: a data efficient blind image quality assessment approach
Though current no-reference image quality assessment (NR-IQA) approaches have
achieved impressive performance gain thanks to deep learning techniques, it is claimed that …
achieved impressive performance gain thanks to deep learning techniques, it is claimed that …
A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
High-end lenses although offering high-quality images suffer from both insufficient
affordability and bulky design which hamper their applications in low-budget scenarios or on …
affordability and bulky design which hamper their applications in low-budget scenarios or on …
Exploring and evaluating image restoration potential in dynamic scenes
In dynamic scenes, images often suffer from dynamic blur due to superposition of motions or
low signal-noise ratio resulted from quick shutter speed when avoiding motions. Recovering …
low signal-noise ratio resulted from quick shutter speed when avoiding motions. Recovering …
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks
The restoration of motion-blurred images has always been a complex problem in image
restoration. The current single blurred image algorithm cannot very well solve the estimation …
restoration. The current single blurred image algorithm cannot very well solve the estimation …
Image blind motion deblurring method with longitudinal channel and wavelet dynamic convolution
N Jiang, Y Zhang, F Yan, X Fu, T Kong - Computers & Graphics, 2023 - Elsevier
Deep learning methods have achieved great success in image deblurring. However, these
methods also exist two limitations, the detailed information loss caused by the image …
methods also exist two limitations, the detailed information loss caused by the image …
Rapid construction of 4d high-quality microstructural image for cement hydration using partial information registration
Studying on the microstructural evolution of cement paste during hydration is of
considerable significance for understanding its mechanism and designing such material in …
considerable significance for understanding its mechanism and designing such material in …
Diffevent: Event Residual Diffusion for Image Deblurring
Traditional frame-based cameras inevitably suffer from non-uniform blur in real-world
scenarios. Event cameras that record the intensity changes with high temporal resolution …
scenarios. Event cameras that record the intensity changes with high temporal resolution …