Results 31 to 40 of about 6,362 (162)

Resolution-Preserving Generative Adversarial Networks for Image Enhancement

IEEE Access, 2019
Generative adversarial networks (GANs) are used for image enhancement such as single image super-resolution (SISR) and deblurring. The conventional GANs-based image enhancement suffers from two drawbacks that cause a quality degradation due to a loss of ...
Donghyeon Lee, Sangheon Lee, Hoseong Lee, Kyujoong Lee, Hyuk-Jae Lee   +4 more
doaj   +1 more source

WIG-Net: Wavelet-Based Defocus Deblurring with IFA and GCN

Applied Sciences, 2023
Although the existing deblurring methods for defocused images are capable of approximately recovering clear images, they still exhibit certain limitations, such as ringing artifacts and remaining blur.
Yi Li, Nan Wang, Jinlong Li, Yu Zhang
doaj   +1 more source

Reference-Based Multi-Level Features Fusion Deblurring Network for Optical Remote Sensing Images

Remote Sensing, 2022
Blind image deblurring is a long-standing challenge in remote sensing image restoration tasks. It aims to recover a latent sharp image from a blurry image while the blur kernel is unknown.
Zhiyuan Li, Jiayi Guo, Yueting Zhang, Jie Li, Yirong Wu   +4 more
doaj   +1 more source

Image Quality Improvements Based on Motion-Based Deblurring for Single-Photon Imaging

IEEE Access, 2021
Photon counting imaging can be used to capture clearly photon-limited scenes. In photon counting imaging, information on incident photons is obtained as binary frames (bit-plane frames), which are transformed into a multi-bit image in the reconstruction ...
Kiyotaka Iwabuchi, Yusuke Kameda, Takayuki Hamamoto   +2 more
doaj   +1 more source

Next Generation 7 Tesla Arterial Spin Labeling With Rotated Spiral Acquisition Enables Mesoscale Resolution in 3D Brain Perfusion and Functional MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To achieve high resolution (≤ 1 mm isotropic) whole‐brain perfusion imaging at 7 T with next generation ASL pulse sequence, reconstruction algorithm, and MRI hardware. Methods We capitalized on three major innovations: (1) FLASH‐based pseudo‐Continuous ASL (pCASL) sequence with rotated golden‐angle stack‐of‐spirals (rGA‐SoS) sampling; (
Chenyang Zhao, Fanhua Guo, Zidong Yang, Xingfeng Shao, Samantha J. Ma, Alexander J. S. Beckett, An T. Vu, David A. Feinberg, Danny J. J. Wang   +8 more
wiley   +1 more source

An improved nonlocal sparse regularization-based image deblurring via novel similarity criteria

International Journal of Advanced Robotic Systems, 2018
Image deblurring is a challenging problem in image processing, which aims to reconstruct an original high-quality image from its blurred measurement caused by various factors, for example, imperfect focusing caused by the imaging system or different ...
Nannan Wang, Wenxuan Shi, Ci’en Fan, Lian Zou   +3 more
doaj   +1 more source

Multi‐Scale Transformer for Image Restoration

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Although Transformer‐based image restoration methods have demonstrated impressive performance, existing Transformers still insufficiently exploit multiscale information. Previous non‐Transformer‐based studies have shown that incorporating multiscale features is crucial for improving restoration results.
Wuzhen Shi, Youwei Pan, Chun Zhao, Yuqing Liu, Shaobo Zhang, Heng Zhang, Yang Wen   +6 more
wiley   +1 more source

Texture-Aware Deblurring for Remote Sensing Images Using $ \ell _0$-Based Deblurring and $ \ell _2$-Based Fusion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
This article presents an image deblurring method using ℓ0-norm-based deblurring and ℓ2-norm-based texture-aware image fusion for remote sensing images.
Heunseung Lim, Soohwan Yu, Kwanwoo Park, Doochun Seo, Joonki Paik   +4 more
doaj   +1 more source

Adaptive blind image deblurring and denoising

Scandinavian Journal of Statistics, EarlyView.
Abstract Blind image deblurring aims to reconstruct the original image from its blurred version without knowing the blurring mechanism. This is a challenging ill‐posed problem because there are infinitely many possible solutions. The ill‐posedness is further exacerbated if the blurring mechanism depends on the pixel location.
Yicheng Kang, Anik Roy, Partha Sarathi Mukherjee   +2 more
wiley   +1 more source

Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases

Advanced Science, Volume 13, Issue 5, 27 January 2026.
Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li, Tianxiang Xiao, Yuanyuan Lan, Chengxiao Wu, Zhouying Li, Rong Liu, Qing Fang, Chao Zhang   +7 more
wiley   +1 more source