Signal Image and Video Processing
Scope & Guideline
Innovating Imaging and Video Technologies
Introduction
Aims and Scopes
- Image Processing Techniques:
The journal covers a wide range of image processing methods, including filtering, segmentation, enhancement, and restoration techniques. These methods aim to improve image quality and extract meaningful information from images. - Signal Processing Innovations:
Research in this area includes algorithm development for various signal processing applications such as audio, speech, and biomedical signals. The focus is on enhancing signal clarity and extracting relevant features. - Machine Learning and Deep Learning Applications:
A significant emphasis is placed on the application of machine learning and deep learning techniques for image and video analysis, including object detection, classification, and segmentation. - Multimodal Data Integration:
The journal explores methods for integrating data from multiple sources, such as combining visual, audio, and contextual information to improve analysis and decision-making processes. - Remote Sensing and Medical Imaging:
Research on remote sensing technologies and medical imaging techniques is prominent, focusing on applications in environmental monitoring and healthcare diagnostics. - Real-time Processing and Applications:
The journal also addresses the challenges and solutions related to real-time processing of images and video, which is critical for applications in surveillance, autonomous systems, and interactive media.
Trending and Emerging
- Machine Learning and AI Integration:
There is a significant surge in research that integrates machine learning and artificial intelligence into image and video processing applications, indicating a shift toward more adaptive and intelligent systems. - Deep Learning Architectures:
The adoption of deep learning architectures, particularly convolutional neural networks (CNNs) and transformers, is on the rise, with many papers focusing on novel applications and improvements of these models for various tasks. - Remote Sensing Innovations:
Research related to remote sensing technologies is increasingly prevalent, particularly in applications for environmental monitoring, urban planning, and disaster management. - Multimodal Processing:
Emerging research on multimodal processing techniques that combine various types of data (e.g., visual, auditory, and textual) for enhanced analysis and interpretation is gaining traction. - Real-time Processing Techniques:
There is a growing emphasis on developing algorithms and systems for real-time processing of images and videos, which is critical for applications in autonomous systems and smart surveillance. - Explainable AI in Image Processing:
As AI systems become more complex, there is an emerging focus on explainability and interpretability in image processing applications, ensuring that users can understand and trust the outcomes of AI-driven analyses.
Declining or Waning
- Traditional Signal Processing Methods:
There is a noticeable decline in the publication of papers focused on traditional signal processing techniques, as researchers increasingly adopt machine learning approaches that offer more robust and efficient solutions. - Basic Image Enhancement Techniques:
Research on fundamental image enhancement techniques, such as histogram equalization or simple filtering, seems to be decreasing, possibly due to the rise of deep learning methods that provide superior results. - Theoretical Analysis of Algorithms:
There appears to be a reduction in papers that focus solely on theoretical analyses of signal processing algorithms, with a shift towards practical implementations and applications in real-world scenarios. - Low-level Image Processing Techniques:
There is less emphasis on low-level image processing techniques, as the field moves towards higher-level applications and integrated systems that leverage complex algorithms. - Basic Pattern Recognition:
The journal has seen fewer submissions related to basic pattern recognition methodologies, as the field has evolved towards more sophisticated models that incorporate deep learning and advanced feature extraction techniques.
Similar Journals
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
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.
International Journal of Biomedical Imaging
Illuminating Pathways in Medical Imaging ResearchInternational Journal of Biomedical Imaging, published by HINDAWI LTD, stands as a pivotal resource in the field of biomedical imaging, bridging the gap between technological innovation and clinical application. Since its inception in 2006 as an Open Access journal, it has become accessible to a global audience, facilitating research dissemination and collaboration. The journal has garnered recognition within the academic community, achieving a notable Q2 category ranking in Radiology, Nuclear Medicine, and Imaging, with an impressive Scopus rank of 16 out of 333, placing it in the 95th percentile of its field. With coverage from 2006 to 2024, the journal encompasses a broad spectrum of studies focused on advancements in imaging technologies, methodologies, and clinical applications, making it an indispensable source for researchers, professionals, and students eager to stay at the forefront of biomedical imaging innovation.
IRBM
Unleashing Cutting-Edge Discoveries in Life SciencesIRBM, published by Elsevier Science Inc, stands at the forefront of research in the domains of Biomedical Engineering and Biophysics, boasting impressively high rankings with a Q1 category in both fields according to the 2023 evaluations. With an effective focus on cutting-edge innovations and methodologies, IRBM provides a vital platform for researchers, professionals, and students alike seeking to disseminate and access groundbreaking findings and developments. Its strong presence in the Scopus database, with ranks of #12 in Biochemistry, Genetics and Molecular Biology and #42 in Biomedical Engineering, places it in the top percentile of impactful journals in the field, making it a crucial resource for advancing knowledge and fostering collaboration. While the journal maintains a traditional subscription model, it continues to attract a diverse readership eager for insightful studies and reviews that push the boundaries of science and engineering. With a projected convergence of years extending to 2024, IRBM promises to remain a significant contributor to the ongoing dialogue in the life sciences.
Traitement du Signal
Advancing the Frontiers of Signal ProcessingTraitement 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.
JOURNAL OF ELECTRONIC IMAGING
Transforming Knowledge into Insight in Electronic Imaging.JOURNAL OF ELECTRONIC IMAGING, published by SPIE - Society of Photo-Optical Instrumentation Engineers, stands at the intersection of cutting-edge research in various fields including Atomic and Molecular Physics, Optics, and Computer Science Applications. With an ISSN of 1017-9909 and an E-ISSN of 1560-229X, this esteemed journal has been a significant contributor to the scientific community since its inception in 1993, continuing its mission to provide a platform for innovative research through 2024. Operating from its headquarters in Bellingham, WA, United States, the journal is currently categorized in the third quartile for major domains such as Electrical and Electronic Engineering, indicating a robust engagement with contemporary topics and advancements. Although it is not an Open Access journal, it remains accessible to a wide audience of researchers, professionals, and students through institutional subscriptions. With its impactful contributions and a comprehensive view of electronic imaging, this journal not only serves as a vital resource but also drives discussions that shape the future of this rapidly evolving field.
COMPUTER VISION AND IMAGE UNDERSTANDING
Catalyzing Breakthroughs in Visual IntelligenceCOMPUTER 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.
VISUAL COMPUTER
Pioneering Innovations in Graphics and VisionVISUAL 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.
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.
Frontiers in Signal Processing
Fostering Collaboration for Groundbreaking InsightsFrontiers in Signal Processing is a pioneering open access journal published by FRONTIERS MEDIA SA that has been a key player in the field of signal processing since its launch in 2021. With an E-ISSN of 2673-8198, this journal aims to foster innovative research and contribute to advancements in various signal processing applications, from audio and image processing to telecommunications and biometrics. As a platform for researchers, professionals, and students, it provides a rigorous peer-review process along with wide dissemination of high-quality articles, making groundbreaking findings freely accessible to a global audience. The journal’s commitment to open access ensures that knowledge is not confined by paywalls, thereby empowering the scientific community to accelerate discovery and learning. With a comprehensive scope that encompasses theoretical insights and practical applications, Frontiers in Signal Processing is poised to play a vital role in shaping future developments in this dynamic field.