JOURNAL OF ELECTRONIC IMAGING
Scope & Guideline
Exploring Innovations at the Intersection of Science and Technology.
Introduction
Aims and Scopes
- Image Processing Techniques:
Research covering various image processing methods including denoising, segmentation, and enhancement algorithms, aimed at improving image quality and usability. - Computer Vision Applications:
Studies focusing on the development of innovative computer vision algorithms for object detection, recognition, and tracking in diverse environments. - Machine Learning and AI Integration:
Papers exploring the integration of machine learning and artificial intelligence in imaging tasks, such as automated image analysis and classification. - Multimodal Imaging:
Research on the fusion of different imaging modalities, such as visible and infrared imaging, to enhance the interpretability and effectiveness of imaging systems. - Quality Control and Inspection:
Application-driven research targeting the use of imaging technologies for quality control in industrial settings, emphasizing methods for defect detection and monitoring. - Image Security and Privacy:
Studies that investigate techniques for image encryption, watermarking, and steganography to ensure the confidentiality and integrity of image data. - Real-time Processing and Applications:
Research focused on real-time imaging applications, including video processing and analysis, with an emphasis on efficiency and speed.
Trending and Emerging
- Deep Learning for Image Analysis:
There is a significant rise in research utilizing deep learning techniques for various image analysis tasks, including segmentation, object detection, and image enhancement. - Integration of AI in Imaging:
The application of artificial intelligence and machine learning in imaging processes is becoming more prevalent, focusing on automated systems for real-time analysis and decision-making. - Underwater and Remote Sensing Imaging:
Research targeting specialized imaging environments, such as underwater imaging and remote sensing, has gained traction, addressing unique challenges and applications in these fields. - Generative Models in Imaging:
The use of generative adversarial networks (GANs) and other generative models for tasks like image synthesis, enhancement, and restoration is emerging as a prominent area of study. - Image Quality Assessment and Enhancement:
An increased focus on developing metrics and methodologies for assessing and enhancing image quality, particularly in low-light and challenging conditions. - Multimodal Image Fusion:
Research trends indicate a growing interest in combining multiple imaging modalities to improve the robustness and accuracy of image analysis. - Privacy-Preserving Imaging Techniques:
Emerging techniques that ensure data privacy and security in imaging, such as advanced watermarking and encryption methods, are becoming increasingly relevant.
Declining or Waning
- Traditional Image Enhancement Techniques:
Methods such as histogram equalization and basic filtering techniques are appearing less frequently, as more sophisticated machine learning and deep learning methods gain prominence. - Hardware-Centric Imaging Solutions:
Research focused exclusively on hardware improvements, such as sensor technology, is declining in favor of software and algorithmic advancements that leverage existing hardware capabilities. - Basic Image Segmentation Methods:
Simple segmentation approaches are increasingly being overshadowed by complex, deep learning-based segmentation techniques, leading to a reduction in publications on traditional methods. - Static Image Analysis:
Research centered on static image analysis without considering temporal dynamics is waning, as the focus shifts towards dynamic and real-time image processing applications. - Manual Feature Engineering:
The reliance on manual feature extraction methods in imaging is decreasing as automated, data-driven approaches become more prevalent in machine learning and computer vision.
Similar Journals
MACHINE VISION AND APPLICATIONS
Exploring the Intersection of Vision and Application.MACHINE VISION AND APPLICATIONS is a distinguished peer-reviewed journal published by SPRINGER, serving as a vital platform for innovative research in the fields of computer vision, pattern recognition, and their applications within hardware and software systems. Since its inception in 1988, the journal has been at the forefront of disseminating cutting-edge findings and advances in machine vision technologies, significantly contributing to the global academic discourse. With an impressive track record, the journal ranks in the Q2 category across various domains in the 2023 Scopus rankings, reflecting its esteemed position in Computer Science Applications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Software. Although it does not currently offer open access options, MACHINE VISION AND APPLICATIONS remains a critical resource for researchers, professionals, and students eager to explore emerging trends and methodologies in the rapidly evolving landscape of machine vision.
Journal of Innovative Optical Health Sciences
Illuminating Pathways in Optical Health SciencesWelcome to the Journal of Innovative Optical Health Sciences, an esteemed platform dedicated to the interdisciplinary exploration of optical technologies in health sciences. Published by World Scientific Publishing Co Pte Ltd, this open-access journal has been at the forefront of innovation since its inception in 2008, facilitating vital discussions and research advancements. With a notable impact factor and a commendable ranking in various scientific categories—including Q2 in Atomic and Molecular Physics, Q3 in Biomedical Engineering, and Q3 in Medicine (miscellaneous)—the journal serves as an essential resource for researchers, professionals, and students alike. Hailing from Singapore, we aim to bridge the gap between optical science and healthcare, promoting breakthroughs that enhance patient care and medical practices. Explore our diverse collection of studies and join a vibrant community committed to advancing knowledge in this cutting-edge field.
IMAGING SCIENCE JOURNAL
Navigating the Evolving Landscape of Imaging TechnologiesImaging Science Journal, published by Taylor & Francis Ltd, serves as a vital resource for researchers and professionals in the fields of computer vision, pattern recognition, and media technology. With an ISSN of 1368-2199 and an E-ISSN of 1743-131X, this journal has been fostering scholarly dialogue since its inception in 1997, with a converged content offering extending through 2024. Its categorization in Quartile 4 in Computer Vision and Pattern Recognition and Quartile 3 in Media Technology highlights its relevance and contributions to emerging trends in these domains. Although it ranks 36th in the Engineering - Media Technology category and 96th in Computer Science - Computer Vision and Pattern Recognition, its innovative research and insights continue to attract the attention of scholars dedicated to advancing knowledge at the intersection of imaging technologies. Offering versatile access options, this journal is essential for students, researchers, and professionals aiming to stay informed and engaged in the rapidly evolving landscape of imaging science.
JOURNAL OF MATHEMATICAL IMAGING AND VISION
Elevating Research Standards in Mathematical ImagingJOURNAL OF MATHEMATICAL IMAGING AND VISION, published by Springer, stands as a significant platform for advancing the fields of applied mathematics, computer vision, and pattern recognition, among others. With an ISSN of 0924-9907 and an E-ISSN of 1573-7683, this esteemed journal is based in the Netherlands and has been contributing to the scholarly discourse since its inception in 1992, with a converged focus through 2024. It has achieved reputable standings within several quartiles, including Q2 rankings across applied mathematics, geometry and topology, and condensed matter physics, reflecting its impact and relevance. Notably, the journal ranks within the top 5% in Geometry and Topology and maintains robust standings in Statistics and Probability. The JOURNAL OF MATHEMATICAL IMAGING AND VISION is dedicated to publishing high-quality research that bridges theoretical perspectives with practical applications, making it an essential resource for researchers, professionals, and students who are exploring the cutting-edge of mathematical imaging and its interdisciplinary applications.
Journal of Electrical and Computer Engineering
Elevating Standards in Engineering Research and PracticeJournal of Electrical and Computer Engineering is a premier open-access journal published by HINDAWI LTD, dedicated to advancing the fields of electrical and computer engineering. With an ISSN of 2090-0147 and an E-ISSN of 2090-0155, this journal has been providing a platform for cutting-edge research since its inception in 2007. Based in the United States, it operates from its address at ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND. The journal has established itself with a healthy impact factor, classified in the 2023 Q2 quartile for both Computer Science (Miscellaneous) and Electrical and Electronic Engineering, demonstrating its growing influence in the academic community. Additionally, its ranking positions it within the 67th percentile in General Computer Science and the 61st percentile in Electrical and Electronic Engineering on Scopus, indicating its significant contribution to these fields. Covering an extensive scope from 2010 to 2024, the journal seeks to publish innovative research articles, reviews, and case studies that explore new techniques and applications in electrical and computer engineering, benefiting a wide audience of researchers, professionals, and students focused on these rapidly-evolving areas.
SIAM Journal on Imaging Sciences
Elevating Knowledge in Imaging through Rigorous Scholarship.SIAM Journal on Imaging Sciences is a prestigious academic journal published by SIAM PUBLICATIONS, focusing on the latest advancements and applications in imaging sciences within the fields of applied and general mathematics. Since its inception in 2008, the journal has established itself as a premier outlet for original research, evidenced by its remarkable standing in the academic community, including a Q1 ranking in both Applied Mathematics and Mathematics (miscellaneous) for 2023. With a Scopus rank of #45 in General Mathematics and an 88th percentile achievement, the journal continues to attract high-quality contributions, making it a vital resource for researchers, professionals, and students eager to stay at the forefront of imaging science developments. Although not currently open access, the journal provides significant visibility through its rigorous peer-review process and commitment to scholarly excellence, ensuring that published works contribute substantially to knowledge in the field. For those looking to delve into innovative imaging techniques or mathematical modeling approaches, the SIAM Journal on Imaging Sciences remains an essential reference point.
Image Processing On Line
Pioneering new pathways in the world of image processing.Image Processing On Line (ISSN: 2105-1232, E-ISSN: 2105-1232) is a pioneering open-access journal published by IMAGE PROCESSING ONLINE-IPOL since 2011, dedicated to advancing the field of image processing through the dissemination of high-quality research and innovative methodologies. Based in France, the journal serves as a platform for researchers, professionals, and students to share insights and breakthroughs in the rapidly evolving domains of Signal Processing and Software. With its current ranking as Q4 in both categories according to the 2023 category quartiles, and a Scopus ranking highlighting its significance within the computer science field, the journal is focused on nurturing contributions that push the boundaries of image processing techniques. Accessible to a global audience, Image Processing On Line is crucial for those engaged in both theoretical explorations and practical applications, ensuring a collaborative repository of knowledge that fosters innovation and development in this vital area of technology.
IMAGE AND VISION COMPUTING
Illuminating the path of progress in image analysis and recognition.Image and Vision Computing, published by Elsevier, serves as a leading international journal focused on the dynamic fields of computer vision, pattern recognition, and signal processing. With its esteemed Q1 category rankings in these areas and an impressive standing in Scopus metrics, where it ranks 19th in Computer Vision and 23rd in Signal Processing, this journal has firmly positioned itself at the forefront of academic research and innovation. Established in 1983, it continues to publish cutting-edge research that drives advancements in technology and applications across various domains. The journal is committed to disseminating high-quality, peer-reviewed articles that address significant challenges and propose novel solutions, making it an essential resource for researchers, practitioners, and students alike. While not an open access journal, Image and Vision Computing offers a wealth of valuable insights into the ever-evolving landscape of visual computing technologies.
Traitement du Signal
Exploring New Horizons in Signal TechnologiesTraitement du Signal, published by the INT Information & Engineering Technology Association, is a distinguished journal that serves the vibrant field of Electrical and Electronic Engineering. With an ISSN of 0765-0019 and an E-ISSN of 1958-5608, this journal has made significant contributions to the discipline since its inception. While it currently operates under a non-open access model, it maintains its commitment to disseminating valuable research from 2010 to 2023, despite its recent discontinuation in Scopus coverage. Recognized in the third quartile (Q3) of the category in 2022, the journal provides a platform for researchers, professionals, and students to publish their findings on topics such as signal processing, communications, and related technologies. By curating high-quality articles, Traitement du Signal plays a crucial role in advancing knowledge and fostering innovation within the electrical and electronic engineering community.
International Journal of Computer Assisted Radiology and Surgery
Exploring New Dimensions in Radiology and SurgeryInternational Journal of Computer Assisted Radiology and Surgery, published by Springer Heidelberg, stands at the forefront of innovation in the integration of computer technology within medical practices, specifically targeting the evolving fields of radiology and surgery. With its ISSN of 1861-6410 and E-ISSN 1861-6429, this esteemed journal encompasses crucial interdisciplinary research that bridges the gap between computer science and healthcare. Demonstrating a significant impact, it is classified in the esteemed Q1 and Q2 quartiles across multiple categories, including Radiology, Computer Graphics, and Health Informatics, with outstanding Scopus rankings, such as the 52nd position in the field of Medicine - Surgery. Spanning from 2006 to 2024, the journal remains pivotal for researchers and professionals, delivering high-quality articles that explore cutting-edge methodologies, algorithms, and applications that enhance surgical precision and diagnostic accuracy. Although it follows a subscription model, its commitment to disseminating valuable knowledge makes it an essential resource for those seeking to push the boundaries of technology in medicine.