Image Processing On Line

Scope & Guideline

Empowering collaboration in the realm of signal and software processing.

Introduction

Delve into the academic richness of Image Processing On Line with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2105-1232
PublisherIMAGE PROCESSING ONLINE-IPOL
Support Open AccessYes
CountryFrance
TypeJournal
Convergefrom 2017 to 2024
AbbreviationIMAGE PROCESS ON LIN / Image Process. On Line
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressC/O JEAN-MICHEL MOREL, CMLA-ENS CACHAN, CACHAN 94235, FRANCE

Aims and Scopes

The journal 'Image Processing On Line' focuses on advancing the field of image processing through innovative methodologies, practical implementations, and comprehensive analyses. It serves as a platform for researchers to present their findings in various aspects of image processing, emphasizing both theoretical and practical contributions.
  1. Image Restoration and Enhancement:
    The journal frequently publishes research on techniques for improving image quality, including denoising, deblurring, and color correction, utilizing advanced algorithms and methodologies.
  2. Image Segmentation and Analysis:
    A significant focus is on methods for segmenting images into meaningful regions, including interactive segmentation approaches and deep learning techniques for semantic segmentation.
  3. Image Forgery Detection and Forensics:
    Research on detecting and analyzing image forgery has been a consistent theme, employing various forensic techniques to ensure image integrity.
  4. Computer Vision Applications:
    The journal covers a wide range of applications in computer vision, including depth estimation, object detection, and scene understanding, often integrating machine learning techniques.
  5. Signal Processing Techniques for Imaging:
    Innovative signal processing methods for enhancing and analyzing image data are a core area, highlighting the intersection of image processing and signal processing.
  6. Theoretical Developments in Image Processing:
    The journal also emphasizes theoretical advancements, exploring new algorithms and mathematical models that underpin image processing techniques.
Recent publications in 'Image Processing On Line' indicate a shift towards innovative and application-driven research themes. These emerging areas reflect the journal’s responsiveness to technological advancements and the evolving needs of the image processing community.
  1. Deep Learning Applications in Image Processing:
    There is a significant uptick in research utilizing deep learning frameworks for various image processing tasks, including segmentation, restoration, and enhancement, indicating a trend towards more data-driven approaches.
  2. Interactive and User-Centric Image Processing:
    Emerging themes in interactive image segmentation and user-guided methods highlight a growing interest in making image processing more accessible and intuitive for users.
  3. Robustness in Image Analysis:
    Recent works emphasize the robustness of algorithms in real-world applications, addressing challenges such as noise and variability in data, which is becoming increasingly important in practical implementations.
  4. Integration of Image Processing with Other Domains:
    There is a trend towards interdisciplinary research that combines image processing with fields such as medical imaging, remote sensing, and machine learning, expanding the scope and impact of image processing techniques.
  5. Real-Time Image Processing Techniques:
    The rise of applications requiring real-time processing, such as autonomous vehicles and augmented reality, has led to an increase in research focused on optimizing algorithms for speed and efficiency.

Declining or Waning

While the journal has consistently focused on several core areas, certain themes appear to be losing prominence in recent publications. This decline may reflect shifts in research priorities or advancements in technology that render previous methodologies less relevant.
  1. Traditional Image Processing Techniques:
    There has been a noticeable decline in papers focusing on classical image processing methods, such as basic filtering and histogram-based techniques, as more advanced computational methods gain traction.
  2. 3D Imaging and Reconstruction:
    Research on 3D imaging techniques, while still relevant, has seen a decrease in frequency, possibly due to the increasing popularity of 2D image analysis and deep learning approaches.
  3. Basic Statistical Methods for Image Analysis:
    The application of fundamental statistical methods in image analysis appears to be waning, as the field shifts towards more complex, data-driven approaches utilizing machine learning.

Similar Journals

IMAGE AND VISION COMPUTING

Driving innovation in the realm of visual technology.
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.

HNO

Transforming Challenges into Solutions in ENT Care
Publisher: SPRINGERISSN: 0017-6192Frequency: 12 issues/year

HNO is a prestigious peer-reviewed journal published by SPRINGER that has been at the forefront of the field of Otorhinolaryngology since its inception in 1948. With a robust ISSN of 0017-6192 and E-ISSN 1433-0458, this journal serves as a critical platform for disseminating innovative research, clinical practices, and educational content pertinent to the diagnosis and treatment of ear, nose, and throat disorders. Based in Germany and targeted at a global audience, HNO has established itself in 2023 within the Q3 category of the Scopus ranking, positioning itself at 71 out of 123 journals in the field, thereby marking its influence among researchers and clinicians alike. While the journal does not currently offer Open Access options, it remains committed to providing high-quality, impactful articles that advance the discipline and cultivate learning. With its continuous publication cycle extending from 1953 to 2024, HNO is poised to remain a cornerstone resource for the Otorhinolaryngology community, striving to address both emerging challenges and established practices in the realm of head and neck disorders.

EURASIP Journal on Image and Video Processing

Empowering Knowledge in Image and Video Sciences
Publisher: SPRINGERISSN: 1687-5176Frequency: 1 issue/year

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.

INTERNATIONAL JOURNAL OF COMPUTER VISION

Leading the Charge in Computer Vision Excellence.
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.

Traitement du Signal

Advancing the Frontiers of Signal Processing
Publisher: INT INFORMATION & ENGINEERING TECHNOLOGY ASSOCISSN: 0765-0019Frequency: 6 issues/year

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.

Signal Image and Video Processing

Transforming Data into Visual Masterpieces
Publisher: SPRINGER LONDON LTDISSN: 1863-1703Frequency: 4 issues/year

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 of Image and Graphics

Connecting Scholars to the Future of Imaging
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0219-4678Frequency: 4 issues/year

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.

SIAM Journal on Imaging Sciences

Advancing the Frontiers of Imaging Science.
Publisher: SIAM PUBLICATIONSISSN: 1936-4954Frequency: 4 issues/year

SIAM Journal on Imaging Sciences is a prestigious academic journal published by SIAM PUBLICATIONS, focusing on the latest advancements and applications in imaging sciences within the fields of applied and general mathematics. Since its inception in 2008, the journal has established itself as a premier outlet for original research, evidenced by its remarkable standing in the academic community, including a Q1 ranking in both Applied Mathematics and Mathematics (miscellaneous) for 2023. With a Scopus rank of #45 in General Mathematics and an 88th percentile achievement, the journal continues to attract high-quality contributions, making it a vital resource for researchers, professionals, and students eager to stay at the forefront of imaging science developments. Although not currently open access, the journal provides significant visibility through its rigorous peer-review process and commitment to scholarly excellence, ensuring that published works contribute substantially to knowledge in the field. For those looking to delve into innovative imaging techniques or mathematical modeling approaches, the SIAM Journal on Imaging Sciences remains an essential reference point.

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.

JOURNAL OF MATHEMATICAL IMAGING AND VISION

Elevating Research Standards in Mathematical Imaging
Publisher: SPRINGERISSN: 0924-9907Frequency: 9 issues/year

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.