JOURNAL OF MATHEMATICAL IMAGING AND VISION

Scope & Guideline

Connecting Mathematics with Visual Understanding

Introduction

Welcome to your portal for understanding JOURNAL OF MATHEMATICAL IMAGING AND VISION, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0924-9907
PublisherSPRINGER
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1992 to 2024
AbbreviationJ MATH IMAGING VIS / J. Math. Imaging Vis.
Frequency9 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

Aims and Scopes

The Journal of Mathematical Imaging and Vision focuses on the intersection of mathematics, computer science, and imaging technology. It aims to foster research that advances the mathematical methodologies and computational techniques used in image processing, analysis, and visualization.
  1. Mathematical and Computational Methods:
    The journal emphasizes the development and application of mathematical models and computational algorithms for image processing tasks, such as segmentation, denoising, and reconstruction.
  2. Geometric Analysis in Imaging:
    A significant focus is placed on geometric approaches to image understanding, including shape analysis, topology preservation, and morphological operations.
  3. Statistical and Probabilistic Methods:
    Research often explores statistical models and probabilistic frameworks for image interpretation, including uncertainty quantification and machine learning techniques.
  4. Applications Across Domains:
    The journal covers a wide range of applications, from medical imaging to remote sensing and computer vision, illustrating the interdisciplinary nature of the field.
  5. Emerging Technologies in Imaging:
    It also highlights innovative approaches, including deep learning and neural networks, to enhance traditional image processing techniques.
The Journal of Mathematical Imaging and Vision is currently experiencing a surge in specific themes that are reflective of the latest advancements and interests in the field. These emerging scopes highlight the journal's responsiveness to new challenges and technologies in imaging.
  1. Deep Learning for Image Processing:
    There is a significant trend towards the application of deep learning techniques, including convolutional neural networks, for various image processing tasks, enhancing both performance and efficiency.
  2. Uncertainty Quantification:
    Recent publications increasingly focus on uncertainty quantification in imaging, addressing the need for robust methods that can handle noise and variability in data.
  3. Hybrid Models and Algorithm Integration:
    A growing interest in hybrid models that combine different mathematical and computational techniques is evident, indicating a trend towards more comprehensive solutions for complex imaging problems.
  4. Geometric Deep Learning:
    Emerging research in geometric deep learning is gaining traction, integrating concepts from geometry into neural network architectures to improve image understanding.
  5. Real-Time Processing Techniques:
    With advancements in computational power, there is a rising focus on real-time image processing techniques, driven by applications in areas such as autonomous systems and interactive media.

Declining or Waning

Over time, the Journal of Mathematical Imaging and Vision has seen a gradual decline in certain research themes. These waning scopes reflect shifting interests and advancements in technology that have influenced the journal's focus.
  1. Traditional Image Processing Techniques:
    There has been a noticeable decrease in publications focusing on classical image processing methods, such as basic filtering and simple edge detection, as more advanced algorithms gain popularity.
  2. Basic Morphological Operations:
    The foundational morphological techniques, while still relevant, are appearing less frequently as researchers explore more complex and computationally sophisticated methods.
  3. Single-Use Models in Imaging:
    Research that relies on single-use or narrowly defined models is declining, with a shift towards more integrated and versatile approaches that can adapt to various imaging scenarios.
  4. Manual Feature Extraction:
    As automated and machine learning-based techniques become more prevalent, the focus on manual feature extraction methods is diminishing.

Similar Journals

Image Analysis & Stereology

Unlocking the Potential of Image Analysis
Publisher: INT SOC STEREOLOGYISSN: 1580-3139Frequency: 3 issues/year

Image Analysis & Stereology is a premier open-access journal dedicated to the dynamic fields of image analysis and stereological methods, published by the International Society for Stereology. Since its inception in 2000, this journal has provided an essential platform for researchers and professionals to disseminate their findings and share innovative methodologies across various disciplines, including Acoustics, Biotechnology, Computer Vision, and Materials Science. As a respected publication with a broad scope, the journal holds a Q3 ranking across multiple categories and is indexed in Scopus. With its commitment to advancing research and enhancing academic discourse, Image Analysis & Stereology is vital for anyone involved in quantitative imaging studies, offering valuable insights and access to groundbreaking research in a rapidly evolving landscape.

COMPUTER VISION AND IMAGE UNDERSTANDING

Transforming Pixels into Knowledge
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCEISSN: 1077-3142Frequency: 12 issues/year

COMPUTER 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.

MULTIMEDIA SYSTEMS

Exploring the Frontiers of Multimedia Innovation
Publisher: SPRINGERISSN: 0942-4962Frequency: 6 issues/year

MULTIMEDIA SYSTEMS, published by SPRINGER, is a premier academic journal dedicated to the dynamic field of multimedia technology and its applications across various domains. With the ISSN 0942-4962 and E-ISSN 1432-1882, this journal has established itself as an essential resource since its inception in 1993, providing researchers and professionals with rigorous peer-reviewed articles that explore innovative developments in Media Technology, Computer Networks, Hardware Architecture, Information Systems, and Software. As a testament to its academic impact, MULTIMEDIA SYSTEMS has attained a Q2 ranking in multiple key categories for 2023, alongside a notable Q1 ranking in Media Technology, highlighting its significance within the community. With a rich repository of knowledge and ongoing commitment to advancing multimedia research, this journal is an invaluable asset for those seeking to stay informed about cutting-edge technologies and methodologies. While the journal follows a traditional subscription model and is not presently open access, it ensures high-quality content that serves the scholarly needs of its audience, facilitated by its accessibility from Germany's respected academic infrastructures. For inquiries and submissions, the journal is based in New York, NY, further illustrating its global academic reach.

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION

Pioneering Discoveries in Image Science and Vision
Publisher: Optica Publishing GroupISSN: 1084-7529Frequency: 12 issues/year

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, published by Optica Publishing Group, is a leading journal in the fields of optics, image science, and vision. With a rich history dating back to 1979, it serves as an essential platform for disseminating cutting-edge research and developments from 1984 to 2024. The journal covers a wide array of topics, including atomic and molecular physics, electronic and optical materials, and pattern recognition in computer vision. Its prestigious categorization in the Q2 quartile for Atomic and Molecular Physics and Optics and its Q3 rankings in Computer Vision and Medical fields indicate the high-level contributions it fosters within the scientific community. Researchers will benefit from its commitment to rigorous peer review and its role in advancing knowledge at the intersection of science and application. Although it is not an open-access journal, the quality of content attainable here is invaluable for academics, industry professionals, and students eager to explore the forefront of optical science.

SIGNAL PROCESSING-IMAGE COMMUNICATION

Elevating Standards in Image Communication Research
Publisher: ELSEVIERISSN: 0923-5965Frequency: 10 issues/year

SIGNAL 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.

Computational Visual Media

Fostering collaboration in cutting-edge visual research.
Publisher: TSINGHUA UNIV PRESSISSN: 2096-0433Frequency: 4 issues/year

Computational Visual Media, published by TSINGHUA UNIVERSITY PRESS, is a premier open access journal dedicated to advancing the fields of Artificial Intelligence, Computer Graphics and Computer-Aided Design, and Computer Vision and Pattern Recognition. Since its inception in 2015, it has established a robust position within the academic community, consistently achieving Q1 rankings across its categories as of 2023. With exceptional Scopus rankings, including a remarkable percentile standing in the top 10% globally, the journal serves as a vital resource for researchers, professionals, and students eager to explore cutting-edge methodologies and technologies in computational visual media. The journal’s open access format enhances accessibility, fostering global collaboration and dissemination of knowledge, making it an indispensable platform for those at the forefront of innovation in these dynamic fields. The journal is headquartered in Beijing, China, and aims to publish high-quality research that not only contributes to theoretical advancements but also addresses practical challenges within computational visual technologies.

DIGITAL SIGNAL PROCESSING

Elevating Standards in Digital Signal Research
Publisher: ACADEMIC PRESS INC ELSEVIER SCIENCEISSN: 1051-2004Frequency: 12 issues/year

DIGITAL SIGNAL PROCESSING is a leading academic journal published by Academic Press Inc Elsevier Science, serving as a vital resource in the fields of applied mathematics, artificial intelligence, signal processing, and electrical engineering. With an impressive set of rankings, including a Q2 designation in multiple categories such as Applied Mathematics and Computer Vision and Pattern Recognition, this journal aims to disseminate high-quality research that addresses both theoretical and practical aspects of digital signal processing. Its rigorous peer-review process ensures the publication of original articles, review papers, and innovative applications, making it an essential platform for researchers and professionals dedicated to advancing this dynamic field. While currently not an open-access journal, it maintains a significant impact factor, reflecting its esteemed position within the academic community. The journal's ongoing commitment to exploring new trends and methodologies positions it at the forefront of digital signal processing research, driving both scholarly inquiry and practical application from 1991 to 2024.

IMAGE AND VISION COMPUTING

Illuminating the path of progress in image analysis and recognition.
Publisher: ELSEVIERISSN: 0262-8856Frequency: 12 issues/year

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.

INTERNATIONAL JOURNAL OF COMPUTER VISION

Advancing the Frontiers of Computer Vision and AI.
Publisher: SPRINGERISSN: 0920-5691Frequency: 12 issues/year

INTERNATIONAL JOURNAL OF COMPUTER VISION, published by Springer, is a premier peer-reviewed journal that stands at the forefront of the fields of Computer Vision and Artificial Intelligence. With a remarkable impact factor and rankings placing it in the Q1 category across key areas such as Computer Vision and Pattern Recognition, as well as Software, this journal serves as an essential resource for researchers, professionals, and students alike. Since its inception in 1987, it has aimed to advance the understanding and methodologies within the rapidly evolving landscape of computer vision technologies. Its location in the Netherlands underlines its international significance, and with Scopus rankings placing it in the top percentiles of its categories, the journal is recognized for its contribution to groundbreaking research and innovative applications. Although it is not an open-access journal, it still provides extensive access options through institutional and personal subscriptions, offering its readers in-depth insights and findings pivotal to their work in artificial intelligence and computational technologies.

Annals of the University of Craiova-Mathematics and Computer Science Series

Connecting Ideas, Inspiring Innovation in Academia
Publisher: UNIV CRAIOVAISSN: 1223-6934Frequency: 2 issues/year

Annals of the University of Craiova-Mathematics and Computer Science Series, published by UNIV CRAIOVA, is a distinguished academic journal that serves as a platform for advancing knowledge in the fields of mathematics and computer science. With an ISSN of 1223-6934 and an E-ISSN of 2246-9958, the journal has been disseminating high-quality research since its inception in 2011 and is targeted toward researchers, professionals, and students from these dynamic fields. It has been recognized in the Q3 category for both Computer Science Applications and Mathematics (miscellaneous) as of 2023, highlighting its emerging influence in the academic community, despite its current Scopus Rankings placing it at 42nd percentile for Mathematics and 14th percentile for Computer Science Applications. The journal's commitment to open access and its ongoing contributions until 2024 position it as a vital resource for fostering collaboration and innovation in Romania and beyond. Researchers interested in mathematics and computer science will find valuable insights and cutting-edge studies within its pages.