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Academic Articles & Research Papers
Showing 20 of 445 academic articles
A Gruen and T S Huang • Measurement Science and Technology
(2002)
One of my greatest hates is the edited book with chapters from a number of different authors, some of which have evidently been written in haste against the final deadline, and most of which show marked divergence of content, opinion, notat...
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DOI: https://doi.org/10.1088/0957-0233/13/2/707
Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park • Journal of Healthcare Engineering
(2018)
The research of computer vision, imaging processing and pattern recognition has made substantial progress during the past several decades.Also, medical imaging has attracted increasing attention in recent years due to its vital component in...
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DOI: https://doi.org/10.1155/2018/5157020
PMC: 5857319
Eirini Cholopoulou, Dimitrios E. Diamantis, Dimitra-Christina C. Koutsiou, Dimitris K. Iakovidis • IEEE Access
(2026)
Effective shadow removal is pivotal in enhancing visual image quality in applications such as computer vision and digital photography. During the last decades physics-based and machine learning methodologies have been proposed; however, mos...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3728048
Ola Basheer, Zohair Al-Ameen • Sistemasi: Jurnal Sistem Informasi
(2024)
With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past d...
DOAJ
Open Access (DOAJ)
DOI: 10.32520/stmsi.v13i3.3938
M. Cihad Arslanoglu, Abdulkadir Albayrak, Huseyin Acar • Engineering Science and Technology, an International Journal
(2026)
Karyotyping is a widely used laboratory technique to detect abnormalities in chromosomes. Karyotyping consists of many steps, including collecting samples, cell culturing and metaphase cell detection. Cytogeneticists examine all the images ...
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Open Access (DOAJ)
DOI: 10.1016/j.jestch.2025.102262
Jayasingam Adhuran, Gosala Kulupana, Anil Fernando • IEEE Access
(2022)
The rapid development of virtual reality applications continues to urge better compression of 360° videos owing to the large volume of content. These videos are typically converted to 2-D formats using various projection techniques i...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3219861
Ekta Sinha, Ashwani Kumar, Abhinav Tyagi • International Journal For Multidisciplinary Research
(2025)
OpenCV is a powerful, open-source toolkit designed for handling real-time computer vision challenges and advanced image processing tasks. It enables automated systems to interpret images and videos effectively. This paper explores the capab...
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DOI: https://doi.org/10.36948/ijfmr.2025.v07i03.44280
David P. Capel, Andrew Zisserman • IEEE Signal Processing Magazine
(2003)
Super-resolution (SR) restoration aims to solve the following problem: given a set of observed images, estimate an image at a higher resolution than is present in any of the individual images. Where the application of this technique differs...
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DOI: https://doi.org/10.1109/msp.2003.1203211
Albert Vong, Howard Yanxon, Eric Roberts, Hannah Parraga et al. • Journal of Synchrotron Radiation
(2026)
Modern synchrotron X-ray facilities generate X-ray diffraction (XRD) image data at rates that far exceed the capacity of manual analysis, yet critical processing steps such as artifact removal rely on human intervention. Rule-based algorith...
DOAJ
Open Access (DOAJ)
DOI: 10.1107/S160057752600754X
Manar Ashkanani, Alanoud AlAjmi, Aeshah Alhayyan, Zahraa Esmael et al. • Inventions
(2025)
Traffic management systems play a crucial role in smart cities, especially because increasing urban populations lead to higher traffic volumes on roads. This results in increased congestion at intersections, causing delays and traffic viola...
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Open Access (DOAJ)
DOI: 10.3390/inventions10010014
Manabu Okawa • IEEE Access
(2025)
Offline writer identification is an essential component of biometric and forensic security fields, focusing on identifying the authors of handwritten documents in physical form. Historically, this approach has focused on text-dependent iden...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3586994
Mingming Tan, Tao Fang, Yingle Fan, Wei Wu et al. • IEEE Access
(2019)
The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors. It simulates th...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2945108
Guochang Ye, Mehmet Kaya • Bioengineering
(2022)
Cell segmentation is a critical step for image-based experimental analysis. Existing cell segmentation methods are neither entirely automated nor perform well under basic laboratory microscopy. This study proposes an efficient and automated...
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Open Access (DOAJ)
DOI: 10.3390/bioengineering9020081
Dong Wang, Yaowen Kang, Yibin Chen, Yuefang Gao et al. • Journal of King Saud University: Computer and Information Sciences
(2026)
Abstract Image inpainting is crucial for restoring missing or corrupted regions in images, with diverse applications in computer vision and digital content creation. Existing deep learning-based methods, however, often struggle with large o...
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Open Access (DOAJ)
DOI: 10.1007/s44443-026-00545-5
Chanya Lueangwattana, Shohei Mori, Hideo Saito • Computational Visual Media
(2019)
Abstract Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences (thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a ...
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Open Access (DOAJ)
DOI: 10.1007/s41095-018-0126-8
Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys
(2023)
Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...
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DOI: https://doi.org/10.1145/3578516
Sudhakaran Pradeep, Koushik V.S.K., Charan N., M. Preetha • E3S Web of Conferences
(2024)
The aim of computer vision techniquesand deep learning in the era of digitalization is to derive valuable insights from them and generate novel understanding. This makes it possible to employ imaging to quickly diagnose and treat a variety ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202449103003
Yogesh Patel, Sudeep Tanwar, Pronaya Bhattacharya, Rajesh Gupta et al. • IEEE Access
(2023)
Recent advancements in computer vision processing need potent tools to create realistic deepfakes. A generative adversarial network (GAN) can fake the captured media streams, such as images, audio, and video, and make them visually fit othe...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3251417
Emanuele Trucco, Alessandro Verri • CINECA IRIS Institutial Research Information System (University of Genoa)
(1998)
From the Publisher:
FEATURES:
Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision.
Contains many practical hints highlighted in the book.
Develops two parallel ...
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Charles V. Stewart • SIAM Review
(1999)
Estimation techniques in computer vision applications must estimate accurate model parameters despite small-scale noise in the data, occasional large-scale measurement errors (outliers), and measurements from multiple populations in the sam...
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DOI: https://doi.org/10.1137/s0036144598345802