Results 61 to 70 of about 4,574 (198)

A Generalized New Method for Anomalous Phased Array Radar Echo Image Restoration Based on Generative Adversarial Network

Earth and Space Science, Volume 12, Issue 12, December 2025.
Abstract X‐band Phased array radars are characterized by high spatial and temporal resolution, but suffer from a range of data quality problems, such as echo voids after the filtering of ground clutter, abnormal radials, radial obstructions and irregular missing radar echoes. This paper proposes a radar echo image restoration model (GCD) based on color
Jinyan Xu, Ling Yang, Xiaoqiong Zhen, Yan Fu, Zhendong Yao, Chong Wu, Chao Chen   +6 more
wiley   +1 more source

SID: Sensor-Assisted Image Deblurring System for Mobile Devices

IEEE Access, 2019
Handheld mobile photography is often affected by motion blur due to the difficulty of keeping the camera's stable. The existing processing method is usually a high-cost deblurring process of a computer, which seriously affects the user experience, and ...
Qing Wang, Jun Tan, Tianzhang Xing, Feng Chen, Jinping Niu   +4 more
doaj   +1 more source

From Nano Robotic Manipulation to Nano Manipulation Robot

SmartBot, Volume 1, Issue 3, September 2025.
This review addresses a critical research gap by summarizing advancements in nano robotic manipulation, tracing its evolution from passive observation to autonomous nanomanipulation robots. It explores the interplay of observation, construction, and operation, unveiling fundamental principles of atomic‐scale control. The review establishes a systematic
Zhan Yang, Shixin Liu, Linjun Li, Qinkai Chen, Chaoyang Shi, Lixin Dong, Toshio Fukuda   +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

Progressive deep network for blind motion image deblurring

Xi'an Gongcheng Daxue xuebao, 2023
The multi-stage deep neural network in the blind motion image deblurring task lacks a large range of receptive fields and it was difficult to reasonably interact with the image features of each stage.
WANG Xiaohua, HOU Jiahui, ZHANG Kaibing, CHENG Jing, SU Zebin   +4 more
doaj   +1 more source

Temperature‐Resilient Polymeric Memristors for Effective Deblurring in Static and Dynamic Imaging

Advanced Functional Materials, Volume 35, Issue 23, June 5, 2025.
A thermally stable organic memristor based on a thiadiazolobenzotriazole (TBZ) and 2,5‐Dioctyl‐3,6‐di(thiophen‐2‐yl)pyrrolo[3,4‐c]pyrrole‐1,4(2H,5H)‐dione (DPP)‐based conjugated polymer is presented, demonstrating reliable, gradual resistance switching across a wide temperature range (153–573 K).
Ziyu Lv, Ming‐Hao Jiang, Hui‐Ying Liu, Qing‐Xiu Li, Tao Xie, Jingya Yang, Yan Wang, Yongbiao Zhai, Guanglong Ding, Shirui Zhu, Jia‐Hua Li, Miao Zhang, Ye Zhou, Bobo Tian, Wai‐Yeung Wong, Su‐Ting Han   +15 more
wiley   +1 more source

Image Deblurring Using Multi-Stream Bottom-Top-Bottom Attention Network and Global Information-Based Fusion and Reconstruction Network

Sensors, 2020
Image deblurring has been a challenging ill-posed problem in computer vision. Gaussian blur is a common model for image and signal degradation. The deep learning-based deblurring methods have attracted much attention due to their advantages over the ...
Quan Zhou, Mingyue Ding, Xuming Zhang
doaj   +1 more source

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

, 2018
We present DeblurGAN, an end-to-end learned method for motion deblurring. The learning is based on a conditional GAN and the content loss . DeblurGAN achieves state-of-the art performance both in the structural similarity measure and visual appearance ...
Budzan, Volodymyr, Kupyn, Orest, Matas, Jiri, Mishkin, Dmytro, Mykhailych, Mykola   +4 more
core   +1 more source

Deconvolution Techniques in Optical Coherence Tomography: Advancements, Challenges, and Future Prospects

Laser &Photonics Reviews, Volume 19, Issue 12, June 18, 2025.
This review explores deconvolution techniques in optical coherence tomography (OCT), addressing resolution degradation from point‐spread functions (PSF). It reviews foundational principles (e.g., Richardson‐Lucy deconvolution) to advanced AI‐driven methods, emphasizing clinical translation and interdisciplinary collaboration. Real‐world implementations
Syeda Aimen Abbasi, Di Mei, Yuanyuan Wei, Chao Xu, Syed Muhammad Tariq Abbasi, Sadia Shakil, Wu Yuan   +6 more
wiley   +1 more source

Total Fractional-Order Variation-Based Constraint Image Deblurring Problem

Mathematics, 2023
When deblurring an image, ensuring that the restored intensities are strictly non-negative is crucial. However, current numerical techniques often fail to consistently produce favorable results, leading to negative intensities that contribute to ...
Shahid Saleem, Shahbaz Ahmad, Junseok Kim   +2 more
doaj   +1 more source