Results 61 to 70 of about 441,411 (171)
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 +4 more
doaj +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 +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 +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 +4 more
doaj +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 +5 more
wiley +1 more source
NBD-GAP: Non-Blind Image Deblurring Without Clean Target Images [PDF]
, 2022 In recent years, deep neural network-based restoration methods have achieved state-of-the-art results in various image deblurring tasks. However, one major drawback of deep learning-based deblurring networks is that large amounts of blurry-clean image ...
Nair, Nithin Gopalakrishnan +2 more
core +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.To address the limitations of existing defocus deblurring methods—such as the inability of single discriminators to balance local texture and global colour consistency, and insufficient capture of long‐range dependencies by traditional generators—this paper proposes DAD‐GAN, an end‐to‐end generative adversarial network integrating a parallel dual ...
Yuemeng Liu, Dongjie Chen, Zhihui Yang
wiley +1 more source
Fixing a blurred photograph: blind image deblurring
, 2023 This project presents a deep learning-based approach to blind image deblurring using a convolutional neural network. The trained model can produce a deblurred output using only the blurred image as input and exhibits improved image quality, as ...
Teo, Hong Wei
core
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
SAR‐Flow: Spatially Adaptive Rectified Flow for Efficient Low‐Light Image Enhancement
IET Image Processing, Volume 20, Issue 1, January/December 2026.SAR‐Flow overcomes the limitations of traditional flow‐based models in low‐light image enhancement by replacing the standard isotropic Gaussian assumption with a spatially adaptive noise field tailored to the image's local signal‐to‐noise ratio. Additionally, it leverages rectified flow to straighten complex probability transport paths into highly ...
Xuecheng Liao +4 more
wiley +1 more source