Results 91 to 100 of about 441,411 (171)

Blind motion deblurring using improved DeblurGAN

IET Image Processing
To develop a fast and effective image deblurring method, the blind recovery of motion‐blurred images based on DeblurGAN(GAN, Generative Adversarial Networks) is researched.Firstly, the number of residual modules in the DeblurGAN network is changed, and ...
Wentao Ji, Xing Chen, Yihong Li
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, Chao Min, Zeyun Jiang, Zhaozhong Yang, Xiaogang Li   +4 more
doaj   +1 more source

Deblurring Natural Image Using Super-Gaussian Fields

, 2018
Blind image deblurring is a challenging problem due to its ill-posed nature, of which the success is closely related to a proper image prior. Although a large number of sparsity-based priors, such as the sparse gradient prior, have been successfully ...
Wenyong Dong, Yuhang Liu, Qinfeng Shi, Gong, D., Dong, W., Dong Gong, Zhang, L., Lei Zhang, Liu, Y., Shi, Q.   +9 more
core   +1 more source

Sharpening an unfocused image using the non-blind deblurring method

, 2023
Blurring has commonly plagued images and photographs, and it usually occurs due to motion during the capturing of an image, low light intensity from the environment, weather conditions, etc.
Goh, Jonathan Ming Han
core  

No-Reference Image Quality Assessment and Blind Deblurring with Sharpness Metrics Exploiting Fourier Phase Information [PDF]

, 2015
International audienceIt has been known for more than 30 years that most of the geometric content of a digital image is encoded in the phase of its Fourier transform.
Moisan, Lionel, Leclaire, Arthur
core   +1 more source

FPGA-Based Real-Time Deblurring and Enhancement for UAV-Captured Infrared Imagery

Remote Sensing
In 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, Lehao Pan, Tong Liu, Bang Cheng, Yahui Cai   +4 more
doaj   +1 more source

A Variational Neural Network Based on Algorithm Unfolding for Image Blind Deblurring

Applied Sciences
Image 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, Yeran Wang, Guangyu Yang, Weibo Wei, Junli Zhao, Zhenkuan Pan   +5 more
doaj   +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.
Wang, R, Tao, D
core  

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  

Recent Progress in Image Deblurring

, 2014
This paper comprehensively reviews the recent development of image deblurring, including non-blind/blind, spatially invariant/variant deblurring techniques.
Ruxin Wang, Dacheng Tao
core