Journal of Real-Time Image Processing
Scope & Guideline
Advancing the Frontiers of Real-Time Image Processing
Introduction
Aims and Scopes
- Real-Time Image Processing Techniques:
The journal publishes research on methods that enable real-time processing of images and videos, ensuring that algorithms can operate effectively under time constraints. - Application of Deep Learning:
A significant focus is on the application of deep learning techniques, particularly convolutional neural networks (CNNs) and their variants, to solve complex image processing tasks. - Hardware Acceleration and Optimization:
Research often includes the development of hardware-optimized solutions for image processing, such as FPGA and GPU implementations, which enhance the performance of algorithms. - Object Detection and Recognition:
The journal highlights advancements in object detection and recognition, particularly using YOLO (You Only Look Once) models and other deep learning frameworks. - Cross-Disciplinary Applications:
Submissions explore a variety of applications across domains such as autonomous vehicles, medical imaging, agriculture, and security, showcasing the versatility of real-time image processing. - Semantic Segmentation and Image Enhancement:
Research on semantic segmentation techniques and methods for enhancing image quality in real-time scenarios is prominently featured.
Trending and Emerging
- Advancements in YOLO Frameworks:
There is a clear trend towards the development and enhancement of YOLO-based models for real-time object detection, showcasing innovations that improve speed and accuracy. - Federated Learning and Privacy-Preserving Techniques:
Emerging research on federated learning indicates a growing emphasis on privacy-preserving methods in image processing, which is crucial for applications involving sensitive data. - Integration of AI with IoT:
The convergence of artificial intelligence and the Internet of Things (IoT) is becoming prominent, particularly in applications such as smart surveillance and environmental monitoring. - Real-Time Medical Imaging Applications:
There is an increasing focus on real-time applications in medical imaging, such as disease detection and monitoring, reflecting the critical role of image processing in healthcare. - Energy-Efficient Processing Solutions:
Research is increasingly targeting energy-efficient algorithms and hardware solutions, which are essential for mobile and embedded systems operating under resource constraints. - 3D Reconstruction and Augmented Reality:
Emerging themes include 3D reconstruction techniques and augmented reality applications, highlighting a shift towards immersive technologies and their integration with real-time image processing.
Declining or Waning
- Traditional Image Processing Techniques:
There is a noticeable decline in the publication of papers focusing on traditional image processing methods, as the field shifts towards more complex and adaptive deep learning approaches. - Low-Level Image Processing:
Papers that primarily deal with low-level image processing tasks, such as basic filtering and enhancement techniques, are becoming less common as researchers pursue more sophisticated applications. - Static Image Analysis:
Research centered around static image analysis without real-time constraints is decreasing, as the emphasis is increasingly placed on dynamic and real-time processing capabilities. - General Purpose Algorithms:
Algorithms that are not specifically tailored for real-time applications or do not leverage current hardware advancements are seeing reduced interest.
Similar Journals
Image Processing On Line
Transforming insights into breakthroughs in 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.
Biomedical Signal Processing and Control
Exploring the frontiers of biomedical signal processing.Biomedical Signal Processing and Control is a premier academic journal published by ELSEVIER SCI LTD that stands at the forefront of the rapidly evolving fields of biomedical engineering, health informatics, and signal processing. With an impressive impact factor reflecting its scholarly influence and high standards of research, this journal has been recognized in the Q1 quartile category across multiple disciplines as of 2023. Specifically, it holds esteemed positions within Biomedical Engineering, Health Informatics, and Signal Processing, where it ranks in the top tier of its field on Scopus: #19/131, #21/138, and #47/303 respectively. Published continually from 2006 to 2024, the journal serves as a critical platform for researchers, healthcare professionals, and students, fostering innovation in signal processing techniques and their applications in biomedical systems. Access to cutting-edge research and methodologies makes it an indispensable resource for advancing knowledge and practice within these interdisciplinary domains.
VISUAL COMPUTER
Shaping Tomorrow’s Visual Technologies TodayVISUAL 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.
COMPUTER VISION AND IMAGE UNDERSTANDING
Transforming Pixels into KnowledgeCOMPUTER VISION AND IMAGE UNDERSTANDING is a leading academic journal published by Academic Press Inc, Elsevier Science, dedicated to the advancement of the fields of computer vision, image understanding, and pattern recognition. Since its inception in 1993, this esteemed publication has garnered a reputation for excellence, achieving a remarkable Q1 ranking in the categories of Computer Vision and Pattern Recognition, Signal Processing, and Software as of 2023. With its robust impact factor and high visibility in the scientific community—ranking #22 out of 106 in Computer Vision and Pattern Recognition and #27 out of 131 in Signal Processing—this journal serves as a vital resource for researchers, professionals, and students looking to explore and contribute to state-of-the-art developments. Although it does not operate under an Open Access model, its rigorous peer-reviewed content ensures quality and relevance in a rapidly evolving technological landscape. The journal’s commitment to fostering innovation makes it an essential tool for anyone engaged in the study and application of computer vision technologies.
Vietnam Journal of Computer Science
Elevating the discourse in computer science through open access insights.Vietnam Journal of Computer Science, published by World Scientific Publishing Co Pte Ltd, serves as a prominent platform for researchers and professionals in the rapidly evolving field of computer science. Launched as an Open Access journal in 2013, it aims to disseminate high-quality research across various subfields, including Artificial Intelligence, Computational Theory and Mathematics, Computer Vision, and Information Systems. With its ISSN 2196-8888 and E-ISSN 2196-8896, the journal provides valuable insights and contributes to the growing body of knowledge in computer science, particularly in Southeast Asia. Despite its relatively recent establishment, the journal has achieved significant rankings, including Q3 status in multiple categories and notable visibility in Scopus metrics, evidencing its commitment to fostering innovative research. This journal is essential for those looking to stay at the forefront of computational advancements and applications, particularly in Vietnam and beyond, facilitating an engaging dialogue among scholars and industry professionals.
MACHINE VISION AND APPLICATIONS
Transforming Insights into Machine Vision Applications.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.
IMAGE AND VISION COMPUTING
Transforming insights into breakthroughs in visual computing.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.
EURASIP Journal on Image and Video Processing
Igniting Innovations in Image and Video ApplicationsEURASIP Journal on Image and Video Processing, published by Springer, is a leading open-access journal dedicated to the dissemination of significant advancements in the field of image and video processing. Since its inception in 2007, the journal has been pivotal in bridging the gap between theoretical research and practical applications, serving a diverse audience of researchers, professionals, and students. With an impressive impact factor reflected in its 2023 Scopus rankings—ranking Q2 in Electrical and Electronic Engineering, Information Systems, and Signal Processing—this journal showcases innovative methodologies, applications, and technologies in the realm of image and video processing. Authors benefit from the journal's open-access model, promoting widespread visibility and accessibility of their work. Located in the heart of New York City, the journal continues to evolve, covering converged years from 2007 to 2024, ensuring it remains at the forefront of research in a rapidly changing technological landscape.
Journal of Imaging
Advancing the Future of Imaging TechnologiesThe Journal of Imaging, published by MDPI, is an esteemed open-access journal dedicated to advancing the fields of Computer Graphics, Computer Vision, and Electrical Engineering. Since its inception in 2015, this journal has established a significant presence in the academic community, reflected by its impressive rankings in Scopus, including a Q2 quartile in multiple categories such as Computer Vision and Pattern Recognition and Radiology. With a commitment to disseminating high-quality research, the journal offers a platform for innovative studies and practical applications, making it an essential resource for researchers, professionals, and students alike. Operating from its base in Basel, Switzerland, the journal continues to promote scholarly work that pushes the boundaries of imaging technologies, while contributing to the global discourse in its respective fields. The open-access model ensures that valuable research is readily available, fostering collaboration and knowledge-sharing across disciplines.
IEEE MULTIMEDIA
Transforming ideas into multimedia innovations.IEEE Multimedia, published by IEEE Computer Society, is a prestigious journal dedicated to advancing the fields of multimedia technology and innovations in computing. With an ISSN of 1070-986X and an E-ISSN of 1941-0166, the journal has established a significant impact within the academic community, holding an impressive ranking in various categories: Q2 in Computer Science Applications, Hardware and Architecture, Signal Processing; Q1 in Media Technology; and Q2 in Software as of 2023. Spanning from 1994 to 2024, IEEE Multimedia strives to publish cutting-edge research and development findings, focusing on the convergence of multimedia with engineering and computing disciplines. Researchers and professionals across these domains are encouraged to engage with its rigorously peer-reviewed content, enhancing their understanding and application of multimedia methodologies in their respective fields.