Journal Ranking & Metrics
JCR Impact Factor:
Scopus H-index :
Guide2Research Overall Ranking:
Aims & Scope of the Journal
Due to rapid advancements in integrated circuit technology, the rich theoretical results that have been developed by the image and video processing research community are now being increasingly applied in practical systems to solve real-world image and video processing problems. Such systems involve constraints placed not only on their size, cost, and power consumption, but also on the timeliness of the image data processed.
Examples of such systems are mobile phones, digital still/video/cell-phone cameras, portable media players, personal digital assistants, high-definition television, video surveillance systems, industrial visual inspection systems, medical imaging devices, vision-guided autonomous robots, spectral imaging systems, and many other real-time embedded systems. In these real-time systems, strict timing requirements demand that results are available within a certain interval of time as imposed by the application.
It is often the case that an image processing algorithm is developed and proven theoretically sound, presumably with a specific application in mind, but its practical applications and the detailed steps, methodology, and trade-off analysis required to achieve its real-time performance are not fully explored, leaving these critical and usually non-trivial issues for those wishing to employ the algorithm in a real-time system.
The Journal of Real-Time Image Processing is intended to bridge the gap between the theory and practice of image processing, serving the greater community of researchers, practicing engineers, and industrial professionals who deal with designing, implementing or utilizing image processing systems which must satisfy real-time design constraints.
The journal solicits original contributions in the following areas:
– Real-time image and video processing algorithms
– Real-time embedded image/video processing systems
– Real-time image and video processing hardware and architecture including FPGA, DSP, GPU, GPP, ASIC, System-on-Chip (SoC), and System-in-a-Package (SiP) implementations
– Real-time software optimizations and related design paradigms for image/video processing
– Real-time hardware/software co-design for image and video processing
– Real-time image and video processing applications including digital, cell-phone, and smart cameras, machine vision, industrial inspection, surveillance and security, image and video compression for transmission and for database storage and retrieval, biomedical imaging, spectral imaging, etc.