EURASIP 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.

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.

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.

AI, published by MDPI, is a distinguished open access journal dedicated to advancing the field of artificial intelligence. Since its inception in 2020, the journal has swiftly established itself as a prominent platform for scholarly research, currently ranking in the Q2 category for 2023 within the artificial intelligence sector according to Scopus. With an impressive global reach from its base in Basel, Switzerland, the journal aims to foster innovation and collaboration among researchers, professionals, and students alike, providing a forum to share groundbreaking findings and applications in AI. The journal's commitment to accessibility ensures that research is available to a wide audience, enhancing knowledge dissemination and contributing significantly to the ongoing evolution of artificial intelligence technologies. To explore the latest in AI research, readers can access articles through their open access model, encouraging an inclusive academic environment.

JOURNAL 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.

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.

Signal Image and Video Processing, published by Springer London Ltd, is a cutting-edge academic journal dedicated to the fields of electrical and electronic engineering and signal processing. With an ISSN of 1863-1703 and an E-ISSN of 1863-1711, this journal plays a pivotal role in disseminating innovative research findings from 2007 to 2024, boasting a commendable Q2 ranking in its respective categories. Located in the United Kingdom, the journal attracts a diverse readership of researchers, professionals, and students eager to explore advancements in signal processing technologies and their applications in imaging and video analysis. Although it does not offer open access, its rigorous peer-review process ensures the publication of high-quality, impactful research, evident by its respectable rankings within Scopus in both electrical engineering and computer science domains. The journal serves as vital resource for those aiming to stay at the forefront of technological developments and research in image and video processing.

International Journal on Document Analysis and Recognition (IJDAR), published by Springer Heidelberg, stands at the forefront of research and advancements in the field of document analysis, computer vision, and pattern recognition. With its ISSN 1433-2833 and E-ISSN 1433-2825, the journal is an essential resource for researchers and practitioners focusing on innovations in automatic document processing, image analysis, and artificial intelligence applications in document retrieval and recognition. Recognized as a Q1 journal in multiple relevant categories, including Computer Science Applications, Computer Vision and Pattern Recognition, and Software, IJDAR boasts impressive Scopus rankings that position it among the top-tier publications in these domains. The journal’s converged publication years from 1998 to 2024 offer a rich repository of knowledge essential for both theoretical and practical advancements, ensuring that researchers, professionals, and students can keep pace with the latest findings and methodologies. Access options may vary, but the journal continuously strives to facilitate the dissemination of high-quality research that contributes significantly to the academic discourse in document analysis and recognition.

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.

International Journal of Applied Pattern Recognition, published by INDERSCIENCE ENTERPRISES LTD, is a leading peer-reviewed journal that delves into the intricate world of pattern recognition and its applications across various domains, including computer vision, machine learning, and data mining. With its ISSN 2049-887X and E-ISSN 2049-8888, the journal aims to foster academic dialogue and present cutting-edge research that bridges theory and practice. As a vital resource for researchers, professionals, and students in the field, the journal emphasizes innovative methodologies, practical implementations, and interdisciplinary collaborations. Although it does not follow an open access model, contributions to the journal are rigorously vetted to ensure the highest quality of published work. By focusing on real-world applications and advancements in pattern recognition, the International Journal of Applied Pattern Recognition stands out as a key publication that not only informs but also inspires significant progress in the field.