JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY
Scope & Guideline
Exploring the Frontiers of Imaging Science
Introduction
Aims and Scopes
- Imaging Technology Development:
This area emphasizes advancements in imaging technologies, including novel algorithms and hardware improvements that enhance image acquisition, processing, and analysis. - Applications of Deep Learning in Imaging:
Deep learning techniques are increasingly applied for tasks such as image classification, segmentation, and enhancement, showcasing the integration of AI in imaging science. - Quantitative Imaging Techniques:
Research focusing on quantitative methods for imaging evaluation, including metrics for assessing image quality, accuracy, and performance of imaging systems. - Interdisciplinary Applications:
The journal highlights interdisciplinary applications of imaging science, ranging from medical imaging and remote sensing to industrial inspections and archival studies. - Data Fusion and Integration:
Studies that explore techniques for integrating various data sources and modalities, improving the robustness and effectiveness of imaging solutions.
Trending and Emerging
- Artificial Intelligence and Machine Learning Applications:
The integration of AI and machine learning in imaging science is increasingly prevalent, with numerous studies focusing on automated image analysis, classification, and enhancement. - 3D Imaging and Reconstruction Techniques:
There is a growing emphasis on 3D imaging methodologies, including depth estimation and reconstruction, reflecting advancements in both hardware and software capabilities. - Remote Sensing and Environmental Monitoring:
Research in remote sensing applications is expanding, particularly in the context of environmental monitoring, disaster management, and resource assessment. - Augmented Reality and Virtual Reality Applications:
The use of imaging technologies in AR and VR contexts is on the rise, exploring new ways to visualize and interact with data. - Health Informatics and Medical Imaging Innovations:
There is an increasing focus on health informatics, with innovative imaging techniques being developed for diagnostics, treatment planning, and monitoring in healthcare.
Declining or Waning
- Traditional Imaging Techniques:
There is a noticeable decline in publications focused on conventional imaging methods, as researchers increasingly explore advanced computational approaches and machine learning techniques. - Basic Image Processing Algorithms:
The prevalence of basic image processing methods is waning, with a shift towards more complex and integrated methods that leverage deep learning for enhanced performance. - Analog Imaging Methods:
Research related to analog imaging techniques has become less common, as digital imaging technologies dominate the landscape of imaging science. - Single-Modal Imaging Studies:
There is a reduction in studies focusing solely on single-modal imaging approaches, as the trend moves towards multi-modal imaging systems that provide more comprehensive insights. - Hardware-Centric Research:
Research centered exclusively on hardware advancements is declining in favor of software innovations and algorithmic developments that can be applied across different platforms.
Similar Journals
Image Processing On Line
Fostering global knowledge exchange in cutting-edge technologies.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.
VISUAL COMPUTER
Exploring the Intersection of Art and TechnologyVISUAL COMPUTER is a prestigious journal published by Springer, focusing on the dynamic fields of computer graphics, computer-aided design, computer vision, and software. Established in 1985, this interdisciplinary journal serves as a vital platform for sharing innovative research, applications, and developments crucial to the advancement of visual computing technologies. With a notable Q2 ranking in various categories, including Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition, VISUAL COMPUTER demonstrates a solid impact within the academic community, marked by its Scopus rankings that reflect its significant contributions to the field. While the journal does not offer open access, it remains a reliable source of high-quality content for researchers, professionals, and students eager to stay abreast of emerging trends and techniques, ultimately fostering collaboration and knowledge exchange within the rapidly evolving landscape of visual computing.
IMAGE AND VISION COMPUTING
Pioneering research at the intersection of vision and computation.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.
Journal of Medical Imaging
Empowering Medical Professionals with Innovative Imaging SolutionsThe Journal of Medical Imaging, published by SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, is an esteemed publication in the field of medical imaging, playing a pivotal role in advancing the discipline since its inception in 2014. With an ISSN of 2329-4302 and an E-ISSN of 2329-4310, this journal has garnered significant recognition, evidenced by its Q2 ranking in 2023 within the critical category of Radiology, Nuclear Medicine, and Imaging. The journal is dedicated to presenting cutting-edge research and innovations that enhance diagnostic imaging techniques and methodologies, appealing to a diverse audience of researchers, professionals, and students alike. Offering valuable insights into the interplay of optics and imaging technologies, it serves as a crucial resource for fostering knowledge and collaboration in the medical community. Notably, it holds a competitive rank of #136 out of 333 in its Scopus category, placing it in the 59th percentile—a testament to its influence and relevance in ongoing medical research. Therefore, the Journal of Medical Imaging stands out as an essential platform for disseminating transformative findings and innovations in healthcare imaging.
SIGNAL PROCESSING-IMAGE COMMUNICATION
Elevating Standards in Image Communication ResearchSIGNAL PROCESSING-IMAGE COMMUNICATION, published by Elsevier, is a leading journal in the fields of Computer Vision, Signal Processing, and Electrical Engineering. With an impressive range of Quartile rankings in 2023, including Q1 in Electrical and Electronic Engineering and Q2 in Signal Processing, this journal is vital for researchers and professionals seeking the latest advancements and comprehensive studies in image communication technologies. Issued in the Netherlands, SIGNAL PROCESSING-IMAGE COMMUNICATION has been an essential resource since its inception in 1989, fostering innovation and collaboration among academia and industry. The journal provides a platform for high-quality peer-reviewed research, addressing significant challenges and solutions in the convergence of image processing and communication. Although currently not an Open Access journal, it offers subscription options that ensure a broad dissemination of groundbreaking knowledge. With a robust reputation reflected in its Scopus ranks, this journal serves as an indispensable reference for students and experts aiming to stay at the forefront of developments in this dynamic field.
JOURNAL OF MATHEMATICAL IMAGING AND VISION
Connecting Mathematics with Visual UnderstandingJOURNAL 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.
ULTRASONIC IMAGING
Exploring New Dimensions in Ultrasonic ResearchULTRASONIC IMAGING, published by SAGE PUBLICATIONS INC, is a leading journal within the fields of Radiology, Nuclear Medicine, and Imaging, with a particular focus on advancing the science and application of ultrasound technology. Since its inception in 1979, the journal has provided a platform for high-quality research, featuring innovative studies that bridge theoretical advancements and practical applications, making it an essential resource for researchers and professionals. With a notable impact factor reflecting its robust contribution to the medical community (2023: Q2 rankings in both Radiological and Ultrasound Technology and Radiology, Nuclear Medicine, and Imaging), ULTRASONIC IMAGING serves to disseminate pivotal developments in diagnostic imaging techniques, enhancing the understanding of ultrasound's role in patient care. Researchers are encouraged to explore this journal's collection of cutting-edge articles that push the boundaries of knowledge in ultrasound imaging and its implementation in clinical practices.
MEDICAL IMAGE ANALYSIS
Transforming Health Through Innovative Imaging Solutions.MEDICAL IMAGE ANALYSIS, published by ELSEVIER, stands as a premier journal in the fields of computer science and medical imaging, particularly focusing on the intersection of Computer Graphics, Computer Vision, and Health Informatics. With an impressive impact factor and a consistent classification in the Q1 quartile across multiple domains including Radiology and Radiological Technology, this journal attracts high-quality research and innovative methodologies that significantly contribute to advancing medical practices and technology. Based in the Netherlands, and covering a gamut of topics from 1996 to 2025, it serves as a vital platform for disseminating cutting-edge studies aiming to enhance diagnostic accuracy and treatment planning through sophisticated imaging techniques. While it does not offer Open Access options, the journal’s rigorous peer-review process and high Scopus rankings—positioning it within the top percentiles across several categories—further solidify its reputation as an essential resource for researchers, professionals, and students committed to the evolution of medical imaging.
Journal of Real-Time Image Processing
Unveiling Breakthroughs in Rapid Image Processing TechniquesJournal of Real-Time Image Processing, published by SPRINGER HEIDELBERG, is a renowned peer-reviewed journal dedicated to the field of real-time image processing. With an ISSN of 1861-8200 and an E-ISSN of 1861-8219, this journal operates under a rigorous academic framework, ensuring high-quality publications that cater to both theoretical and practical advancements in the discipline. Since its inception in 2006, it has continually evolved, maintaining a Q2 ranking in Information Systems according to the 2023 Category Quartiles. This journal ranks #103 out of 394 in Scopus for Computer Science - Information Systems, positioning it within the top 27% percentile, which underscores its significance in the research community. Its focus on the intersection of image processing and real-time applications makes it a vital resource for researchers, professionals, and students eager to explore and contribute to cutting-edge developments in the field. Though it does not currently offer open access, the journal's comprehensive scope and commitment to disseminating impactful research make it an essential platform for advancing knowledge in real-time image processing.
MACHINE VISION AND APPLICATIONS
Connecting Theory and Practice in Machine Vision.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.