Axel Martinez,Matthieu Olague,Gustavo Olague et al.
Axel Martinez et al.
Enhancement tasks for low-light images are an open problem whose solutions can impact downstream tasks in fields like surveillance, medicine, autonomous driving, or object detection. As a result, the necessity to create algorithms that can ...
Qijun Hu,Mengxuan Wang,Zhifei Dai et al.
Qijun Hu et al.
Plane wave imaging (PWI) is a cornerstone of ultrafast ultrasound imaging, but its application is often hindered by limitations in image quality due to the simultaneous transmission of unfocused plane waves. To address this challenge, we pr...
Clinical validation of a deep learning model for low-count PET image enhancement [0.03%]
低计数PET图像增强的深度学习模型的临床验证
Qigang Long,Yan Tian,Boyang Pan et al.
Qigang Long et al.
Purpose: To investigate the effects of the deep learning model RaDynPET on fourfold reduced-count whole-body PET examinations. Methods: ...
RNN-AHF Framework: Enhancing Multi-focal Nature of Hypoxic Ischemic Encephalopathy Lesion Region in MRI Image Using Optimized Rough Neural Network Weight and Anti-Homomorphic Filter [0.03%]
基于优化粗神经网络权重和反同态滤波的RNN-AHF框架提升MRI图像中缺氧缺血性脑病多焦点性质研究
M Thangeswari,R Muthucumaraswamy,K Anitha et al.
M Thangeswari et al.
Introduction: Image enhancement of the Hypoxic-Ischemic Encephalopathy (HIE) lesion region in neonatal brain MR images is a challenging task due to the diffuse (i.e., multi-focal) nature, small size, and low contrast of t...
IEWNet: Multi-Scale Robust Watermarking Network Against Infrared Image Enhancement Attacks [0.03%]
鲁棒红外图像增强攻击的多尺度信息隐藏网络
Yu Bai,Li Li,Shanqing Zhang et al.
Yu Bai et al.
Infrared (IR) images record the temperature radiation distribution of the object being captured. The hue and color difference in the image reflect the caloric and temperature difference, respectively. However, due to the thermal diffusion e...
Digital image enhancement using deep learning algorithm in 3D heads-up vitreoretinal surgery [0.03%]
基于深度学习算法的3D眼镜上全视网膜手术图像增强技术
Sung Ha Hwang,Young Jae Kim,Jae Bok Cho et al.
Sung Ha Hwang et al.
This study aims to predict the optimal imaging parameters using a deep learning algorithm in 3D heads-up vitreoretinal surgery and assess its effectiveness on improving the vitreoretinal surface visibility during surgery. To develop the dee...
MHF-UIE a multi-task hybrid fusion method for real-world underwater image enhancement [0.03%]
一种用于真实水下图像增强的多任务混合融合方法(MHF-UIE)
Jian Xu,Miss Laiha Mat Kiah,Rafidah Md Noor et al.
Jian Xu et al.
Underwater image quality often deteriorates, posing significant challenges in extracting underwater information and affecting advanced visual tasks, for instance, tasks in various fields such as oceanography, marine biology, underwater expl...
Improving TMJ MRI diagnostics in juvenile idiopathic arthritis: a comparative evaluation of image enhancement filters [0.03%]
改善青少年特发性关节炎TMJ磁共振诊断的图像增强滤波方法比较研究
Ana Carla Raphaelli Nahás,Alessandra Motta Streva,Francis Damico Siqueira et al.
Ana Carla Raphaelli Nahás et al.
Objectives: To assess the effectiveness of two enhancement filters for magnetic resonance images of temporomandibular joint (TMJ) in patients with juvenile idiopathic arthritis (JIA). ...
Anand Singh,Mohammad Sajid,Naveen Kumar Tiwari et al.
Anand Singh et al.
The current research uses the Grünwald-Letnikov (GL) fractional differential mask to improve satellite and medical images. One of the important image enhancement methods in digital image processing is texture enhancement. A fractional diff...
Kerem Parlar,Mert Cakir,Ozlem Ozer et al.
Kerem Parlar et al.
Barrett's esophagus is a premalignant precursor lesion of esophageal adenocarcinoma that affects approximately 1% of the population worldwide. Esophageal adenocarcinoma has a high mortality rate with a five-year survival of 15% to 20%. Earl...
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