Journal of Real-time Image Processing - Impact Factor

About: The Journal of Real-Time Image Processing is dedicated to exploring advancements in real-time processing and analysis of images and videos. It provides a platform for researchers, engineers, and practitioners to publish original research articles, reviews, and case studies that contribute to the understanding and development of real-time image processing methodologies.
Publication Frequency: The journal publishes regularly to ensure timely dissemination of research findings and advancements in real-time image processing.
Peer Review: All submissions undergo rigorous peer review by experts in the field to maintain high academic standards and ensure the validity and significance of published research.
Impact: The Journal of Real-Time Image Processing aims to advance the field by promoting innovative research that enhances the understanding and application of real-time image processing methodologies, addressing challenges and exploring new opportunities in the real-time processing of visual data.

Scope: The journal covers a wide range of topics within the field of real-time image processing, including:
Real-Time Image and Video Processing: Algorithms, architectures, and systems for processing images and videos in real-time.
Computer Vision: Techniques for real-time visual perception, object detection and recognition, tracking, and scene understanding.
Image and Video Analysis: Methods for real-time analysis of images and videos, including feature extraction, segmentation, and pattern recognition.
Machine Learning in Real-Time: Applications of real-time machine learning algorithms and frameworks in image and video processing.
Embedded Systems: Hardware and software design for real-time image processing on embedded platforms and IoT devices.
Applications: Practical applications of real-time image processing in fields such as surveillance, autonomous systems, medical imaging, augmented reality, and more.