Results 71 to 80 of about 293,019 (211)

Enhancing convolutional neural network generalizability via low‐rank weight approximation

IET Image Processing, Volume 20, Issue 1, January/December 2026.
A self‐supervised framework is proposed for image denoising based on the Tucker low‐rank tensor approximation. With the proposed design, we are able to characterize our denoiser with fewer parameters and train it based on a single image, which considerably improves the model's generalizability and reduces the cost of data acquisition. Abstract Noise is
Chenyin Gao, Shu Yang, Anru R. Zhang
wiley   +1 more source

Diffusion Models and Its Applications in Image Dehazing: A Survey

IET Image Processing, Volume 20, Issue 1, January/December 2026.
1.This survey represents the first systematic and comprehensive overview of diffusion model‐based image dehazing, aiming to provide a valuable guide for future researchers and stimulate continued progress in this field. 2.We summarize relevant papers along with their corresponding code links and other resources for image dehazing and all‐in‐one image ...
Liangyu Zhu, Yanzhao Su, Zhigao Cui, Yunwei Lan, Nian Wang, Lanqing Zhang, Yanping Cai   +6 more
wiley   +1 more source

A Neural Approach to Blind Motion Deblurring [PDF]

, 2016
We present a new method for blind motion deblurring that uses a neural network trained to compute estimates of sharp image patches from observations that are blurred by an unknown motion kernel. Instead of regressing directly to patch intensities, this network learns to predict the complex Fourier coefficients of a deconvolution filter to be applied to
openaire   +3 more sources

Non-blind deblurring of structured images with geometric deformation

, 2015
Non-blind deconvolution, which is to restore a sharp version of a given blurred image when the blur kernel is known, is a fundamental step in image deblurring.
Zhang, Xin, Sun, Fuchun, Yi Ma, Fuchun Sun, Xin Zhang, Liu, Guangcan, Guangcan Liu, Ma, Yi   +7 more
core   +1 more source

Enhanced Illumination for Robust Steel Wire Rope Damage Detection Using IRetinexformer and LIME

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study proposes a novel surface damage detection method for mine hoisting steel wire ropes (HSWRs) that integrates an improved Retinexformer with BM3D denoising and the LIME algorithm to address challenges of uneven illumination and shadow occlusion in low‐light conditions.
Fengzhong Sun, Yiping Yuan, Fan Jiang, Zishan Zhao, Ping Zhou, Xianli Duan   +5 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

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

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

Motion Deblurring from a Single Image [PDF]

, 2018
With the information explosion, a tremendous amount photos is captured and shared via social media everyday. Technically, a photo requires a finite exposure to accumulate light from the scene. Thus, objects moving during the exposure generate motion blur
Jin, Meiguang
core  

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