Signal, Image and Video Processing Springer - Impact Factor

Signal, Image and Video Processing - Springer Nature | 2024 Impact Factor:2.1 | Cite Score:4.0 | Q2

Signal, Image and Video Processing Journal

Impact Factor and Journal Rank of Signal, Image and Video Processing

About: Signal, Image and Video Processing is a peer-reviewed journal that publishes original research and review articles in the areas of signal, image, and video processing. The journal aims to disseminate high-quality research that contributes to the advancement of knowledge and technology in these fields.
Scope and Objectives
The journal covers a comprehensive range of topics related to signal, image, and video processing, including:
Signal Processing: Techniques for processing and analyzing signals, including analog, digital, and mixed-signal processing.
Image Processing: Methods for image enhancement, restoration, compression, segmentation, and feature extraction.
Video Processing: Techniques for video compression, motion estimation, object tracking, and video quality assessment.
Multimedia Signal Processing: Development of algorithms and systems for audio, video, and multimedia data processing.
Computer Vision: Research on image understanding, 3D reconstruction, object recognition, and scene analysis.
Pattern Recognition: Methods for pattern analysis, classification, clustering, and machine learning applications in signal and image processing.
Machine Learning and Deep Learning: Advanced techniques and applications of machine learning and deep learning in signal, image, and video processing.
Applications and Case Studies: Practical applications and case studies demonstrating the use of signal, image, and video processing techniques in various domains such as medical imaging, remote sensing, surveillance, and multimedia communication.
Impact and Significance
Signal, Image and Video Processing is significant for several reasons:
Cutting-Edge Research: The journal publishes pioneering research that drives innovation and technological advancements in signal, image, and video processing.
Interdisciplinary Approach: It promotes interdisciplinary research, bridging the gap between signal processing, computer vision, machine learning, and related fields.
Practical Applications: The journal highlights practical applications and real-world case studies, demonstrating the impact of advanced processing techniques.
Academic and Industrial Relevance: It serves as a key resource for researchers, engineers, and practitioners in academia and industry, providing valuable insights and developments in the field.
Educational Resource: The journal is an essential resource for students and educators, offering a wealth of information on the latest research and developments in signal, image, and video processing.

Journal Home: Journal Homepage

Editor-in-Chief: Enis Cetin

Scope: Signal, Image and Video Processing is a peer-reviewed journal that publishes original research articles, reviews, and technical notes on various aspects of signal, image, and video processing technologies and applications. The journal covers a wide range of topics within signal, image, and video processing, including but not limited to:
Signal Processing: Techniques and algorithms for processing, analyzing, and interpreting signals, including audio and speech processing.
Image Processing: Methods for image enhancement, restoration, segmentation, compression, and analysis.
Video Processing: Techniques for video compression, enhancement, analysis, and retrieval.
Computer Vision: Algorithms and systems for object detection, recognition, tracking, and scene understanding.
Pattern Recognition: Methods for identifying patterns and making decisions based on data from signals, images, and videos.
Machine Learning: Applications of machine learning and deep learning techniques in signal, image, and video processing.
Biomedical Signal and Image Processing: Techniques for processing and analyzing biomedical signals and medical images.
Multimedia Systems: Development of systems and applications involving multimedia content, including audio, image, and video.
Applications: Real-world applications of signal, image, and video processing in fields such as communications, healthcare, security, entertainment, and transportation.