Eurasip Journal on Image and Video Processing - Impact Factor

About: Eurasip Journal on Image and Video Processing is a peer-reviewed open-access journal published by SpringerOpen. It focuses on both theoretical and practical aspects of image and video processing, covering a wide range of topics relevant to researchers, engineers, and practitioners in the field. Here are more detailed aspects about the journal:
Publication Frequency: The journal publishes articles continuously online as they are accepted, ensuring rapid dissemination of research findings.
Open Access: Being an open-access journal, all articles are freely available to readers worldwide without subscription barriers, promoting accessibility and visibility of research in the field.
Peer Review: All submissions undergo rigorous peer review to ensure high scholarly standards and scientific rigor.
Audience: The journal serves as a platform for researchers, academics, and professionals interested in advancing the understanding and application of image and video processing technologies across various domains.
Impact: It aims to facilitate the exchange of knowledge and ideas, foster innovation, and contribute to advancements in both theoretical foundations and practical applications of image and video processing.

Scope: Eurasip Journal on Image and Video Processing is a peer-reviewed academic journal focusing on theoretical and practical aspects of image and video processing. It serves as a platform for researchers and practitioners to publish high-quality research and advancements in the field. Key areas covered include:
1. Image Processing: Research on algorithms, techniques, and applications for enhancing, analyzing, and interpreting digital images.
2. Video Processing: Studies on algorithms, methods, and systems for processing, analyzing, and understanding digital video sequences.
3. Computer Vision: Advances in computer vision techniques for image and video understanding, object recognition, and scene analysis.
4. Multimedia Systems: Research on multimedia content analysis, indexing, retrieval, and multimedia databases.
5. Signal Processing: Applications of signal processing techniques to image and video data, including compression, filtering, and feature extraction.
6. Machine Learning for Image and Video Analysis: Development and application of machine learning algorithms for image and video processing tasks.
7. Applications and Case Studies: Practical applications of image and video processing techniques in areas such as healthcare, surveillance, entertainment, and remote sensing.