Results 91 to 100 of about 946,624 (201)

Multi‐Scale Transformer for Image Restoration

CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 41-54, February 2026.
ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi, Youwei Pan, Chun Zhao, Yuqing Liu, Shaobo Zhang, Heng Zhang, Yang Wen   +6 more
wiley   +1 more source

Blind UAV Images Deblurring Based on Discriminative Networks

Sensors, 2018
Unmanned aerial vehicles (UAVs) have become an important technology for acquiring high-resolution remote sensing images. Because most space optical imaging systems of UAVs work in environments affected by vibrations, the optical axis motion and image ...
Ruihua Wang, Guorui Ma, Qianqing Qin, Qiang Shi, Juntao Huang   +4 more
doaj   +1 more source

Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases

Advanced Science, Volume 13, Issue 5, 27 January 2026.
Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li, Tianxiang Xiao, Yuanyuan Lan, Chengxiao Wu, Zhouying Li, Rong Liu, Qing Fang, Chao Zhang   +7 more
wiley   +1 more source

FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks

, 2021
In this paper, we present a Fast Motion Deblurring-Conditional Generative Adversarial Network (FMD-cGAN) that helps in blind motion deblurring of a single image. FMD-cGAN delivers impressive structural similarity and visual appearance after deblurring an

core  

Improved Deep Multi-Patch Hierarchical Network With Nested Module for Dynamic Scene Deblurring

IEEE Access, 2020
Dynamic scene deblurring is a significant technique in the field of computer vision. The multi-scale strategy has been successfully extended to the deep end-to-end learning-based deblurring task.
Zunjin Zhao, Bangshu Xiong, Shan Gai, Lei Wang   +3 more
doaj   +1 more source

Exact, time‐dependent analytical equations for spiral trajectories and matching gradient and density‐correction waveforms

Magnetic Resonance in Medicine, Volume 95, Issue 1, Page 400-410, January 2026.
Abstract Purpose To analytically define a spiral waveform and trajectory that match the constraints of gradient frequency, slew rate, and amplitude. Theory and Methods Piecewise analytical solutions for gradient waveforms under the desired constraints are derived using the circle of an involute rather than an Archimedean spiral.
Guruprasad Krishnamoorthy, James G. Pipe
wiley   +1 more source

Underwater motion deblurring based on cascaded attention mechanism

, 2022
The images captured in the underwater scene frequently suffer from blur effects due to the insufficient light and the relative motion between the captured scenes and the imaging system, which severely hinders the visual-based exploration and ...
T Li (8134317), S Rong (11078379), L Chen (7728959), B He (9248990), Huiyu Zhou (535329)   +4 more
core   +1 more source

Patch Mosaic for Fast Motion Deblurring [PDF]

, 2013
This paper proposes using a mosaic image patches composed of the most informative edges found in the original blurry image for the purpose of estimating a motion blur kernel with minimum computational cost. To select these patches we develop a new image analysis tool to efficiently locate informative patches we call the informative-edge map.
Hyeoungho Bae, Charless C. Fowlkes, Pai H. Chou   +2 more
openaire   +2 more sources

Adaptive Motion Detection for Image Deblurring in RTS Controller

, 2020
: An Adaptive method for Image Deblurring is presented here. Processing of image data collected from both surveillance camera and on road traffic control motor vehicle camera is a big issue because often the objects are in motion and sometimes both the ...
Subhrajit Pradhan, M Tech, Radhanath Patra, Subodh Panda, Abanikanta Pattanayak, R D Sem, Sandeep Mishra   +6 more
core  

Lightweight Asymmetric Convolutional Residual Network for Efficient Motion Image Deblurring

Entropy
Motion image deblurring remains challenging because many existing models rely on complex architectures, leading to high computational cost and parameter redundancy, particularly under non-uniform blur in real-world scenes.
Hongyin Li, Yang Yue, Jiahao Li, Zhongning Guo, Ming Wu   +4 more
doaj   +1 more source