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The Imaging Science Journal最新文献

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Impact of the Internet of Medical Things on Artificial Intelligence-enhanced medical imaging systems from 2019 to 2023 2019 至 2023 年医疗物联网对人工智能增强型医学成像系统的影响
Pub Date : 2024-09-10 DOI: 10.1080/13682199.2024.2400631
Kitsakorn Locharoenrat
This review addresses the disease diagnosis from brain, eye, and lung scan images based on non-invasive imaging technologies using the Internet of Medical Things (IoMT) and Artificial Intelligence ...
这篇综述探讨了利用医疗物联网(IoMT)和人工智能技术,基于无创成像技术从大脑、眼睛和肺部扫描图像中诊断疾病。
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引用次数: 0
Advancements in adversarial generative text-to-image models: a review 对抗生成文本到图像模型的进展:综述
Pub Date : 2024-09-04 DOI: 10.1080/13682199.2024.2395749
Rawan Zaghloul, Enas Rawashdeh, Tomader Bani-Ata
This comprehensive study explores the landscape of Text-to-Image Generative Adversarial Networks (T2I-GANs), aiming to spot the light on their architecture, evaluation methodologies, and limitation...
本综合研究探讨了文本到图像生成对抗网络(T2I-GANs)的前景,旨在揭示其架构、评估方法和局限性。
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引用次数: 0
Enhancing image encryption security through integration multi-chaotic systems and mixed pixel-bit level 通过集成多机械系统和混合像素位级提高图像加密安全性
Pub Date : 2024-09-04 DOI: 10.1080/13682199.2024.2398954
Muhammad Naufal Erza Farandi, Aris Marjuni, Nova Rijati, De Rosal Ignatius Moses Setiadi
This research proposes a new image encryption method to improve the security of image encryption by integrating a multi-chaotic system and mixed pixel-bit level encryption. In the face of the growi...
本研究提出了一种新的图像加密方法,通过整合多混沌系统和混合像素位级加密来提高图像加密的安全性。面对日益增长的图像加密...
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引用次数: 0
Unsupervised low-light image enhancement by data augmentation and contrastive learning 通过数据增强和对比学习实现无监督弱光图像增强
Pub Date : 2024-08-28 DOI: 10.1080/13682199.2024.2395751
Shao Junzhe, Zhang Zhibin
Today, with the increasing demand for visual perception and high-level computational vision tasks, the field of low-light enhancement is rapidly developing. However, models trained on existing data...
如今,随着人们对视觉感知和高级计算视觉任务的需求日益增长,弱光增强领域正在迅速发展。然而,根据现有数据训练的模型...
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引用次数: 0
Minimum error threshold segmentation method for SAR image based on Rayleigh distribution assumption 基于瑞利分布假设的合成孔径雷达图像最小误差阈值分割方法
Pub Date : 2024-07-17 DOI: 10.1080/13682199.2024.2372756
Yang Lv
Accurately extracting and segmenting boundaries between targets and backgrounds is difficult in Synthetic Aperture Radar (SAR) images because of the many scattering mechanisms that produce echo sig...
在合成孔径雷达 (SAR) 图像中,准确提取和分割目标与背景之间的边界非常困难,因为许多散射机制会产生回波信号。
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引用次数: 0
Automatic detection of microaneurysms using DeTraC deep convolutional neural network classifier with woodpecker mating algorithm 使用带有啄木鸟交配算法的 DeTraC 深度卷积神经网络分类器自动检测微动脉瘤
Pub Date : 2024-06-26 DOI: 10.1080/13682199.2024.2364513
A. P. Sherine, S. Wilfred Franklin
Diabetic Retinopathy (DR) is a microvascular complication of diabetes that leads to visual blindness. Early identification of DR can prevent the loss of sight. The first visible sign of DR is the a...
糖尿病视网膜病变(DR)是糖尿病的一种微血管并发症,可导致视力丧失。早期发现糖尿病视网膜病变可以防止视力丧失。糖尿病视网膜病变的第一个明显症状是视网膜上出现...
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引用次数: 0
Image quality enhancement using optimized thresholding and two-level diffusion-based denoising filter 利用优化阈值和基于两级扩散的去噪滤波器提高图像质量
Pub Date : 2024-06-14 DOI: 10.1080/13682199.2024.2364532
Sharanabasav Hosamani, Shashidhar Sonnad
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引用次数: 0
Face photo-drawing conversion based on multi-scale feature-enhanced generative adversarial networks 基于多尺度特征增强生成式对抗网络的人脸照片绘制转换
Pub Date : 2024-06-12 DOI: 10.1080/13682199.2024.2365612
Po Wang, Yi Lihamu Ya Ermaimaiti
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引用次数: 0
Hybrid Thresholding for Image Deconvolution in Expectation Maximization framework 期望最大化框架下用于图像解卷积的混合阈值法
Pub Date : 2024-05-09 DOI: 10.1080/13682199.2024.2349340
Ravi Pratap Singh, Manoj Kumar Singh
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引用次数: 0
Cascaded combination of total variation regularization and contrast limited adaptive histogram equalization based image dehazing 基于总变异正则化和对比度受限的自适应直方图均衡化的级联组合图像去毛刺
Pub Date : 2024-05-05 DOI: 10.1080/13682199.2024.2345030
T. Surya Kavita, A. Vamsidhar, G. Sunil Kumar, G. V. Sridhar, Y. Pavan Chaitanya, K. Mohan Babu
Haze and fog can significantly reduce the visibility of distant objects by scattering light and creating blurry, washed-out images lacking in detail. Image dehazing is a technique used in computer ...
雾和霾会散射光线,使图像模糊不清、缺乏细节,从而大大降低远处物体的可见度。图像消隐是计算机技术中使用的一种技术。
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引用次数: 0
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The Imaging Science Journal
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