Traitement 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.

GRAPHICAL MODELS, published by Academic Press Inc Elsevier Science, is a cutting-edge journal in the fields of Computer Graphics and Computer-Aided Design, Geometry and Topology, Modeling and Simulation, and Software. Since becoming Open Access in 2023, it has expanded its reach, facilitating scholarly communication and encouraging a diverse range of submissions. Operating from the heart of San Diego, United States, the journal has established itself with an impressive ranking, including a Q2 category in multiple disciplines and a notable position in Scopus, particularly in Geometry and Topology, where it ranks #8 out of 106. This journal aims to provide a comprehensive platform for innovative research and application-focused studies, attracting the attention of researchers, professionals, and students who are keen to explore the dynamic landscape of graphical models and their implications across various scientific and engineering domains. With its commitment to publishing high-quality research, GRAPHICAL MODELS is a pivotal resource for anyone interested in advancing the frontiers of graphical representations and simulations.

DISPLAYS is a prestigious journal published by Elsevier that focuses on the dynamic intersection of Electrical and Electronic Engineering, Hardware and Architecture, and Human-Computer Interaction. Since its inception in 1979, the journal has made significant contributions to advancing the field, currently holding a notable impact factor and ranking within the Q2 category across multiple disciplines, including Electrical and Electronic Engineering, Hardware and Architecture, and Human-Computer Interaction. With its broad scope, DISPLAYS is dedicated to publishing high-quality research that inspires innovation in display technology and its applications. Researchers and professionals benefit from access to cutting-edge findings in the realm of display systems, which are integral to the evolving landscape of digital interaction. Operating without an open access option, the journal ensures rigorous peer review, maintaining the highest standards of academic integrity and research quality. Positioned in the heart of the Netherlands, DISPLAYS continues to play a critical role in shaping future advancements, making it an essential read for anyone committed to these vital fields of study.

Journal 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.

The 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.

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.

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.

VISUAL 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.

Imaging 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.

International Journal of Image and Graphics, published by World Scientific Publishing Co. Pte Ltd, serves as an essential platform for scholars and practitioners in the realms of Computer Graphics, Computer-Aided Design, and Computer Vision and Pattern Recognition. Established in 2001 and based in Singapore, this journal has become increasingly influential, with a reputation reflected in its Q3 and Q4 rankings across key categories in Scopus, highlighting its growing impact in the academic community. Open access options remain limited; however, the journal's commitment to disseminating high-quality research allows for a rich exchange of ideas among professionals and students alike. As the 2023 metrics indicate, contributions to the journal not only enhance individual academic portfolios but also promote advancements in image processing, fostering innovation and growth within the discipline until at least 2024. It is thus a vital resource for anyone looking to deepen their knowledge and understanding of contemporary trends and technologies in image processing and related fields.