The Journal of Real-Time Image Processing is a premier source for advancements in real-time image processing technologies and their applications. This journal bridges the gap between theoretical research and practical implementation, focusing on novel algorithms, architectures, and systems capable of processing images and videos in real-time. It includes topics such as embedded systems, hardware acceleration, and parallel processing, catering to researchers and engineers working in areas where immediate image analysis is crucial. Its broad scope covers various applications, from industrial automation to medical imaging.
It addresses crucial topics including image and video compression, object recognition, motion estimation, and 3D imaging. Indexed in databases such as Scopus and Web of Science, the journal is aimed at computer vision specialists, signal processing engineers, and researchers involved in designing and deploying real-time image processing systems. The primary target audience consists of researchers in computer vision, embedded systems engineers, and academics.
Providing a venue for cutting-edge results in the field, the journal encourages submissions that demonstrate innovative solutions and practical applications of real-time image processing. Stay at the forefront of technology by contributing your work and exploring the latest advancements that are driving innovation in various image-related industries.