Journal of Innovative Image Processing

Aims & Scope

Journal of Innovative Image Processing (JIIP) intends to provide an effective research interaction on the outcomes of high-quality theoretical and applied research from all the areas of image processing and analysis. JIIP publishes the research contributions that propose novel image interpretation and analysis methodology or the appropriate application of image processing methods in real-world settings. The journal seek to strengthen and deepen the understanding of image processing discipline by encouraging the qualitative and quantitative comparison of existing mythologies and performance evaluation of the proposed image processing related methodologies. The coverage of the Journal of Innovative Image Processing (JIIP) includes: image analysis, image coding and enhancement, image interpretation and retrieval, embedded image processing and real-time image processing applications, spectral imaging systems, medical imaging devices, pattern recognition, neural networks, software, specialized computer architectures and other related areas. Emphasizes on publishing the state-of-the-art research articles covering the novel image processing theory, methodology, and real-time applications. Sets forth real-time solutions for current image processing challenges. Bridges the gap between the theoretical research and real-time implementation on image processing domain. Presents reliable and real-time architectures for image processing systems as well as tools, simulation, modeling and their implementations.

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification