Results 61 to 70 of about 9,413,043 (217)

Single Image Defocus Deblurring Based on Structural Information Enhancement

IEEE Access
Defocus deblurring is an important task in computer vision that aims to bring images back to clarity. Over recent years, both blind defocuse deblurring and non-blind defocuse deblurring methods have made great progress in the single image defocus ...
Guangming Feng, Longfei Han, Yiwen Jia, Peiliang Huang   +3 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

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

PSF-constraints based iterative blind deconvolution method for image deblurring

, 2009
In recent years, Image Deblurring techniques have played an essential role in the field of Image Processing. In image deblurring, there are several kinds of blurred image such as motion blur, defocused blur and gaussian blur. Many methods to address this
Mo, Xuan, Jun Jiao, Jiao, Jun, Chen Shen, Shen, Chen, Xuan Mo   +5 more
core   +1 more source

Semi-blind image deblurring based on framelet prior

Signal, Image and Video Processing, 2023
The problem of image blurring is one of the most studied topics in the field of image processing. Image blurring is caused by various factors such as hand or camera shake. To restore the blurred image, it is necessary to know information about the point spread function (PSF).
Mohammad Zarebnia, Reza Parvaz
openaire   +4 more sources

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

Image deblurring

, 2022
Image deblurring is the image restoration process through which undesirable blur is removed from the image. This blur could be caused by many factors, including but not limited to, camera shake and incorrect focus.
Aanchal, Mahajan
core  

A deep variational Bayesian framework for blind image deblurring

Knowledge-Based Systems, 2022
Blind image deblurring is an important yet very challenging problem in low-level vision. Traditional optimization based methods generally formulate this task as a maximum-a-posteriori estimation or variational inference problem, whose performance highly relies on the handcraft priors for both the latent image and the blur kernel.
Qian Zhao 0002, Hui Wang 0103, Zongsheng Yue, Deyu Meng   +3 more
openaire   +2 more sources

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

Comparative Analysis of Non-Blind Deblurring Methods for Noisy Blurred Images

, 2022
Image blurring refers to the degradation of an image wherein the image's overall sharpness decreases. Image blurring is caused by several factors. Additionally, during the image acquisition process, noise may get added to the image.
Dasgupta, Poorna Banerjee
core   +1 more source