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Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 22, Page 3412-3434, 15 November 2024.Abstract Advancements in infrastructure management have significantly benefited from automatic pavement crack detection systems, relying on image processing enhanced by high‐resolution imaging and machine learning. However, image and motion blur substantially challenge the accuracy of crack detection and analysis.
Yu Zhang, Lin Zhang
wiley +1 more source
Recent Progress in Image Deblurring [PDF]
This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Tao, D, Wang, R
core
ExposureNet: Mobile camera exposure parameters autonomous control for blur effect prevention
IET Image Processing, Volume 18, Issue 12, Page 3403-3414, 16 October 2024.The ExposureNet project addresses the issue of image blur caused by imbalanced camera exposure settings, by developing an autonomous system for controlling these settings. The system, trained comprehensively, predicts ideal exposure based on the semantic features of a scene, using only shutter speed and ISO as training signals.
Abdelwahed Nahli +6 more
wiley +1 more source
Deep Mean-Shift Priors for Image Restoration
, 2017 In this paper we introduce a natural image prior that directly represents a Gaussian-smoothed version of the natural image distribution. We include our prior in a formulation of image restoration as a Bayes estimator that also allows us to solve noise ...
Bigdeli, Siavash Arjomand +3 more
core
IET Image Processing, Volume 18, Issue 10, Page 2625-2644, 21 August 2024.To tackle the challenge posed by images with unknown noise distributions that existing image denoising methods find difficult to handle, this paper introduces a two‐stage enhanced denoising approach aimed at improving generalization performance. The proposed method capitalizes on the implicit structural prior of an MLP‐based denoiser and the generative
Jing Wu, Ruilin Xie, Hao Wu, Guowu Yuan
wiley +1 more source
Blind Deblurring via a Novel Recursive Deep CNN Improved by Wavelet Transform
IEEE Access, 2018 Blind image deconvolution is an ill-posed problem, which is mainly addressed by the regularization methods. Wavelet transform is an effective denoising method related to regularized inversion. In this paper, wavelet transform is utilized to decompose and
Chao Min +3 more
doaj +1 more source
Patch-Wise Blind Image Deblurring Via Michelson Channel Prior
IEEE Access, 2019 Motion blur exists in many computer vision tasks, including faces, texts, and low-illumination images etc. It has been proved that Dark Channel Prior (DCP) and Bright Channel Prior (BCP) can both help the image deblurring by enhancing the dark or bright ...
Guoquan Wen +4 more
doaj +1 more source
FPGA-Based Real-Time Deblurring and Enhancement for UAV-Captured Infrared Imagery
Remote SensingIn response to the inherent limitations of uncooled infrared imaging devices and the image degradation caused by UAV (Unmanned Aerial Vehicle) platform motion, resulting in low contrast and blurred details, a novel single-image blind deblurring and ...
Jianghua Cheng +4 more
doaj +1 more source
Application of Blind Deblurring Reconstruction Technique to SPECT Imaging
International Journal of Biomedical Imaging, 2007 An SPECT image can be approximated as the convolution of the ground truth spatial radioactivity with the system point spread function (PSF). The PSF of an SPECT system is determined by the combined effect of several factors, including the gamma camera ...
Heng Li, Yibin Zheng
doaj +1 more source
A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring
Applied SciencesImage blind deblurring is an ill-posed inverse problem in image processing. While deep learning approaches have demonstrated effectiveness, they often lack interpretability and require extensive data.
Shaoqing Gong +5 more
doaj +1 more source